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Location: Melbourne, Australia (on-site, at least 3 days a week, at our Melbourne office)

About Artificial Analysis

Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.

Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.

We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai , Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.

The Opportunity

We’re looking for a Senior AI/ML Engineer to join our team and lead projects in AI benchmarking and analysis. You’ll work closely with our founders to build core parts of the software stack for our fast-growing startup.

The coming wave of AI scaling is going to change the world in ways we don’t yet understand - and we’re offering a front row seat.

What You’ll Do

• Lead the development and optimization of aspects of our core benchmarking stack, focusing on data intensive backend systems and APIs, and driving projects from concept to shipped

• Design and implement robust Python solutions for benchmarking, model evaluation and data analysis

• Design and implement user interfaces and data visualizations that distill complex AI benchmarking data into intuitive, interactive experiences for thousands of daily users

• Conduct custom analyses for enterprise customers, providing actionable insights to inform their AI strategies

• Contribute to the evolution of our benchmarking methodologies, including development of evaluation methodology for emerging modalities and capabilities

• Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry

What We’re Looking For

• 3+ years of professional software engineering experience

• Passion for AI and eagerness to work at the forefront of technological innovation

• Proficiency with relevant Python libraries for data analysis (e.g. pandas) and key AI APIs (e.g. OpenAI)

• Familiarity with cloud infrastructure, orchestration and monitoring tools

• Experience with visualizing and presenting data

• Strong problem-solving skills and ability to distill complex concepts into actionable insights in the face of uncertainty

• Excellent communication and collaboration skills

• Proven ability to lead projects independently in a fast-paced environment

• Bachelor’s or Master’s in Computer Science, Engineering, or related field (e.g. Physics)

Preferred but not essential:

• Experience with AI/ML frameworks (e.g. PyTorch)

• Creation of analytical reports

Why Artificial Analysis?

• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.

• Become a world expert in AI : You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.

• Work with the most important players in AI : You’ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.

• Join at a defining moment : We’re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.

Scale Leader, APJC Prototyping and AI Customer Engineering (PACE)

AWS Global Sales drives adoption of the AWS Cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
Be the force multiplier that accelerates innovation from AI to Agents to Robotics, at scale for AWS's most forward-thinking customers and partners. The AWS Prototyping and AI Customer Engineering (PACE) team builds working prototypes leveraging frontier technologies in days and weeks, not months, and we need a Technical Program Manager who can own and grow our Scale business. If you're passionate about technology, energized by building programs that create non-linear impact through technology, partners, and the AWS sales team. If you thrive on turning successful prototyping patterns into repeatable, scalable mechanisms, this is your opportunity to shape how organizations globally adopt the most leading-edge technologies at scale.
In this role, you'll own the APJC PACE scale motion end-to-end, using a "Scale through others " approach. You'll take proven patterns and scale them through a growing ecosystem of partners and through the AWS sales and field teams. You will design, deploy and inspect mechanisms that are custom built to drive accelerated growth, garner support and sponsorship from across a diversity of AWS functions and
As a functional Single Threaded Leader and member of APJC PACE Leadership Team, through your leadership, the APJC PACE Scale Business will grow and mature and be held up as the industry standard for best practices for how to build a self-sustaining eco-system of Partners who grow their businesses through new lines of revenue.
You will represent PACE at AWS Summits, AWS partner Summits, re:invent and other industry forums. You will be expected to build qualification mechanisms and expand into new markets, industries and partnership all whilst delivering outsized revenue growth. You'll lead the consumption of reusable assets, industry reference architectures, and blueprints that enable partners and the AWS field to deliver PACE-quality AI outcomes independently. This isn't a typical TPM role: you'll sit at the intersection of AI innovation, scale execution and partner ecosystem strategy, working on problems that don't have obvious answers while creating programs that drive outsized business impact with visibilty across the industry.

Key job responsibilities
Own and deliver the PACE Scale business objectives, defining strategy, execution plans, and growth targets that expand PACE's reach beyond the core team. Recruit, enable, and manage a growing ecosystem of partners through the "Amazon Designed, Partner Delivered" model - from onboarding through production launch. Design and operate scalable mechanisms (partner summits, certification programs, feedback loops) that ensure partners deliver high-quality outcomes independently. Consume and create accelerators and reusable assets, blueprints, and industry reference architectures that partners and field teams can deploy without direct PACE involvement. Establish and track program KPIs - partner launch rates, production conversion, time-to-delivery, and business impact - using data to continuously improve the program. Partner with Sales, Solutions Architecture, and field teams to route and qualify opportunities across direct and partner-led channels.
A day in the life
Your morning starts reviewing performance dashboards - which engagements launched to production this week, where partners and field teams need support, and which new opportunities are queued. You jump into a call with a Tech VP to ideate and lock down new markets and strategies for growth. Midday, you're developing execution plans and reviewing the APJC PACE Scale GTM. Afternoon brings a strategy session with Sales leadership on expanding the partner program into a new industry vertical, followed by a quick sync with a partner who just hit a milestone worth celebrating. You're building the machine that scales adoption beyond what any single team could deliver alone.

About the team
The PACE team is a small, high-impact group of Prototyping Architects, Design Technologists, and Technical Program Managers who build prototypes at a pace most organizations can't match. You'll work alongside builders who are equally comfortable whiteboarding architecture patterns and shipping production-ready code. In this role, you'll collaborate closely with our partner ecosystem, field sales teams, and solutions architects across AWS, while helping shape how a growing network of technology partners brings AI to customers at scale. We move fast, we experiment constantly, and we measure success by what makes it to production.
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 3+ years of software development experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Senior Software Engineer, AI Tooling (Information Security)

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Job Description

About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.

About the team

Within Information Security, our AI Tooling team builds secure internal platforms, applications, and automation that improve how Airwallex protects its systems, data, and employees. We turn emerging AI capabilities into reliable, governed tools that help security and engineering teams work faster, more consistently, and with stronger controls.

The team owns Airwallex's AI tooling platform, enabling employees to rapidly build internal applications, dashboards, and workflow automation with a strong focus on platform engineering, integrations, security, and scalability.

What you’ll do

You'll design, build, and operate the AI tooling platform used by employees across Airwallex. Working closely with internal teams, you'll identify high-impact opportunities to develop AI-powered applications and automation, build platform capabilities and integrations, and scale the infrastructure that powers our internal tooling, including terabyte-scale log pipelines.

We're not tied to specific projects, languages, or technologies. Instead, we value engineers who dive deep to solve complex problems with pragmatic, scalable solutions. You'll also mentor junior engineers and help grow our world-class engineering team.

This role is based in Melbourne or Sydney.

Responsibilities:

- Lead the development of AI tools and applications, from inception to implementation.

- Support incident response efforts by building ad-hoc tools for threat hunting, remediation and scanners.

- Build, monitor, and maintain underlying infrastructure, including Kubernetes clusters, serverless workloads, and ETL pipelines.

- Sit with engineers to identify opportunities for automation and tooling development

- Partner with product engineering teams to drive security outcomes – such as automation for patching, and development of gateways and other services to decrease risk.

- Mentor and help grow other Software Engineers in the team.

Who you are

We’re looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

- Bachelor’s degree in Computer Science, Information Security, or a related field.

- Minimum 5 years of relevant experience in software engineering.

- Experience with production code bases

- Experience with at least one scripting language (e.g. Python) and one systems programming language (eg. Golang, C/C++)

- Experience with modern cloud infrastructure, including data pipelines, serverless workloads, and Kubernetes

- Proven experience working autonomously on projects – delivering them to a high quality and on time.

- Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.

- Ability to dive deep to find the best solution to a problem

- Obsessive curiosity and a willingness to ask questions, gather context, and learn

Preferred qualifications:

- Experience working in a high-growth tech company.

- Hands on experience with AI – specifically leveraging AI to build applications

- Experience maintaining Linux operating systems

#australia #melbourne #sydney

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.

In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we’ve deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.





Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.

Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.

The Opportunity
Lead and grow one of Podium’s Melbourne-based SDR sales team. Reporting to the Head of Sales, own the full-funnel sales motion - from outbound strategy to pipeline creation and closed-won revenue - while coaching and developing a team of Sales Development Representatives across one of our key verticals. Please note this is a fully onsite role based out of our Melbourne CBD office!

What You’ll Do

- Manage and coach a team of SDRs on outbound cold-calling execution, holding them to monthly KPIs across activity, pipeline and revenue
- Run structured coaching cadences - call listening, live shadowing, role-plays and 1:1s to lift talk tracks, objection handling and conversion at every stage of the outbound cadence
- Own the day-to-day management of a largely junior sales team, including onboarding, ramp plans and career progression
- Drive outbound strategy and execute vertical-specific acquisition plans
- Develop team capability through training and embedded sales best practices
- Collaborate with Marketing, CX and Partnerships to optimise go-to-market motion
- Forecast and report performance metrics to local and global leadership
- Partner with RevOps to ensure systems, reporting, and data support effective decision-making and forecasting

What You’ll Bring

- Proven experience managing a high-volume outbound cold-calling sales team
- Experience managing junior salespeople - hiring, onboarding, developing and retaining talent early in their sales career
- Strong track record as a sales coach - confident getting on calls, running live coaching sessions and 1:1s to sharpen rep performance
- Data-driven mindset; confident analysing metrics and identifying improvement areas
- Experience with SMB-focused or verticalised sales teams (highly regarded)
- Competitive base salary + superannuation
- Uncapped commission with no threshold
- $650 monthly Lifestyle & Wellbeing Allowance to spend however you choose
- Modern Queen & Collins CBD office with end-of-trip facilities and bike storage
- Fully stocked kitchen with complimentary snacks and drinks
- Regular team events, celebrations, and incentives

Interested? Apply now via LinkedIn or our careers page:

Principal AI Sales Specialist, Worldwide Public Sector, ANZ

This role positions the successful candidate at the forefront of AI adoption across the Public Sector in Australia and New Zealand. Citizens increasingly expect improved services, and governments are looking to responsible, safe, and secure AI to deliver them. This role is pivotal to making that happen.
Our customers are curious and ready to move, but they need a trusted guide to help them adopt AI safely and productively.
As an AI Specialist, you will own a defined territory within the ANZ business, with direct responsibility for a set of customers, your pipeline, and your results. You will help government organisations put AI to work, improving citizen services and lifting productivity. You will also help shape the AI go-to-market plan used across the wider ANZ business, with a particular focus on productivity improvement.
Key job responsibilities
Territory-Aligned Specialist Sales
- Own a defined territory within the ANZ business, taking direct responsibility for a set of customers, pipeline and outcomes.
- Work closely with Account Managers, specialists, solutions architecture, professional services and partners to drive coordinated outcomes for your public sector customers.
- Set the strategy for your territory, determining where AI will deliver the greatest value for government and how to sequence it for impact.
- Build and maintain the trust of senior government stakeholders, acting as a credible, senior point of contact who can hold a strategic conversation and follow through on delivery with AWS professional services and partner teams.
- Represent the business at customer meetings, industry events and government forums, speaking to AWS's role in public sector AI, industry trends and emerging technologies.
- Lead the specialist AI team’s collaboration with channel partners through close collaboration with the AWS Partner teams
Build the Go-to-Market Plan Across ANZ
- Beyond your own territory, you will help build the plan the wider ANZ business uses to take AI sales plays to market.
- Define shared milestones and a regular planning and review rhythm that keeps work moving across the teams involved, including partners.
- Bring together the capabilities and offerings of those teams, including partners and marketplace routes, anchored on customer objectives.
- Run the operational side of delivery, including keeping the pipeline accurate, tracking progress, coordinating joint selling with partners.
Outcomes & Value Realisation
- Define customer success in outcome terms, including hours returned, cost avoided, service quality and timeliness, and track the benefit delivered across the life of each initiative.
- Help customers navigate data sovereignty, security and compliance considerations (ISM, PSPF, IRAP) as they apply to AI workloads.
- Share what you learn from delivery to help inform the direction of AWS services for the public sector.

About the team
The Specialist Organisation is a team of technical and strategic experts who work alongside account teams, partners and customers to turn complex technology into real-world impact for the public sector.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

- Experience developing customer relationships and influencing key decision-makers
- Experience conveying complex technical concepts to both technical and business audiences
- Experience leading cross-functional projects and managing large, complicated programs
- Experience identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels
- Experience with government procurement and contracting process
- Bachelor's degree or above in a related field
- Experience leading work focused on productivity improvement and service delivery outcomes
- Understanding of Australian Government security and compliance frameworks (ISM, PSPF, IRAP) and data sovereignty requirements.
- Experience developing detailed go to market plans
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Delivery Consultant - Agentic AI Full Stack Developer, AWS Professional Services

Are you a builder with a strong software development background who gets excited about designing and delivering end-to-end applications powered by Generative AI? Are you interested in helping the largest and most innovative companies in Australia and New Zealand build their next generation of digital products? Come join Amazon Web Services (AWS) Professional Services as a Delivery Consultant specializing in Agentic AI Full Stack Development. In this role, you will leverage your full-stack software development expertise to architect and deliver cloud-native GenAI solutions for our customers, combining hands-on coding with consulting best practices.
We are seeking a hands-on Senior Consultant with deep software engineering, Generative AI, and cloud architecture expertise to deliver complex technical consulting engagements within AWS Professional Services. The ideal candidate will combine strong technical depth with proven engineering capabilities, having both the software development background to work with complex architectures and code, and the curiosity to invent on behalf of our customers using AWS services. You develop using agentic tools and services - AI-powered coding assistants, agentic IDEs, and AI-driven development workflows are part of how you build every day. You understand how to design and orchestrate AI agents, work with protocols like MCP and A2A, and build autonomous systems using services like Amazon Bedrock. You'll work directly with customers to deliver innovative AWS solutions, applying your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
You'll work directly with customers to deliver innovative AWS solutions, leveraging your technical expertise to ensure successful outcomes while maintaining the highest standards of quality and security.
Key job responsibilities
Full-Stack Development - Design, build, and ship cloud-native applications end-to-end. Develop responsive frontend interfaces (e.g., React, Next.js, Vue) and scalable backend services (e.g., Python, TypeScript, Java), deploying on AWS with infrastructure as code and CI/CD pipelines.
AI-Assisted Software Development - Use AI-powered development tools as part of your daily workflow. Champion agentic software development methodologies - leveraging AI to accelerate coding, testing, code review, and delivery.
Agentic Development - Design and implement AI agent architectures and multi-agent systems. Work with emerging protocols (e.g., MCP, A2A) and orchestration frameworks to build autonomous and semi-autonomous AI workflows that solve real customer problems.
Solution Delivery - Work directly with customers to understand requirements, architect solutions, and deliver working software. Build distributed systems, modernize existing applications, and implement best practices across cloud environments.
Technical Leadership - Guide customer and partner teams on software engineering best practices, software architecture decisions, and code quality. Conduct code reviews, mentor developers, and ensure solutions meet security and operational excellence standards.
A day in the life
AWS Professional Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the team
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
- Knowledge of primary AWS services (EC2, ELB, RDS, VPC, Route53, S3) with 5+ years of cloud architecture and solution implementation experience on AWS or comparable platforms, including deploying across distributed computing environments.
- 5+ years of hands-on development with modern programming languages (e.g., TypeScript, JavaScript, Python, Java, Kotlin, .NET).
- Experience with Infrastructure as Code (e.g., AWS CDK, CloudFormation, Terraform), CI/CD pipelines, and DevOps practices.
- Experience using AI-assisted development tools as part of the software development workflow.
- Proven experience implementing AWS services in a variety of distributed computing environments.
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Understanding of AI agent architectures, orchestration patterns, and emerging protocols (e.g., MCP, A2A) with hands-on experience building multi-agent systems and applications that integrate generative AI / LLM capabilities (e.g., RAG, chat interfaces, agent workflows, LLM-powered features).
- Experience with agentic software development methodologies — using AI agents to accelerate development workflows including coding, testing, debugging, and code review.
- Understanding of API design and implementation (REST, GraphQL, gRPC) and identity protocols (OpenID Connect, OAuth 2.0).
- Hands-on experience with containerization and orchestration (e.g., Docker, Amazon ECS, Kubernetes), distributed systems, event-driven architectures, and microservices patterns at scale.
- Familiarity with observability and monitoring practices (e.g., OpenTelemetry, CloudWatch, Datadog) with a focus on operational excellence.
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Staff Software Engineer - Machine Learning

At Marqo, we're pioneering the future of search with our open-source engine that thinks like a human. We are a startup headquartered in San Francisco, with engineering operations out of Melbourne, Australia. We are backed by top venture capital firms from around the world. Marqo's open-source search engine uses machine learning models for search, improving relevance, and providing solutions to problems that were previously difficult or impossible to solve. We are developing a technical product while being focused on ease of use and our customers.

Description





We are looking for a Staff Software Engineer with a specialization in machine learning who can drive the technical excellence of Marqo's open source and cloud service. This individual possesses a deep understanding of systems design, computer science fundamentals, cloud computing and the application of machine learning within software engineering frameworks. They will be responsible for designing and implementing software engineering solutions to complex problems, such as designing and developing large scale distributed applications.

As a Staff Software Engineer, you will play a pivotal role in shaping our open source product and our cloud offering. Your work will involve developing high-performance search and machine learning systems, collaborating with customers and users, and providing strategic technical direction to the engineering team. You will own your solutions from design to production and act as a technical leader and mentor within the organisation.

Basic Qualifications

- Bachelor’s degree in Computer Science or equivalent Engineering discipline.
- 8+ years of experience as a software developer, with a significant focus on machine learning applications.
- Expertise developing cloud-based machine learning solutions and deploying scalable ML models.
- Advanced knowledge of distributed data systems, cloud technologies, and the integration of machine learning models within these environments.
- Demonstrated ability in designing, implementing, deploying, and maintaining high-performance machine learning applications in production environments.

Preferred Qualifications

- Demonstrated technical leadership in commercial/large scale system software development and delivery, with a strong emphasis on machine learning, data analytics, and AI-driven technologies.
- Extensive experience in building (any of) information retrieval, search, recommendation, natural language processing, database, distributed systems.
- Excellent written and verbal communication skills.
- Proven ability to decompose and formalize complex problems.
- Strong leadership skills and a track record of mentoring junior and mid-level engineers.

What you would get

- A collaborative, open, idea-heavy culture.
- Competitive compensation, including equity.
- Significant influence over the technical direction of Marqo’s cloud products.
- Opportunity to shape engineering standards and culture.
- The ability to contribute to, and learn from, a growing startup.
- Flexibility of work hours.
- Close collaboration with top machine learning scientists and software engineers.

Marqo is an equal chance employer and we champion diversity. Don't meet every single requirement of this role? Still apply! Research tells us that underrepresented groups are less likely to apply unless they meet every single requirement. At Marqo, we believe that the right hire is someone who makes an addition to our culture, rather than someone who fits in and conforms to our status quo. So, if you're excited about this role, or about Marqo, we'd still love to hear from you!

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Artificial Intelligence (AI) Engineer III (2316)

Job Description Title: Artificial Intelligence (AI) Engineer III (2316)
Location: Melbourne, Florida
Openings: 1
Work Model: Hybrid, 2 - 3 days in office
Job Type: Contract
Duration: 1 Year
Rate: $61/hour (W2) + Benefits
Hours: 40 hours/week, 8 - 5
Project: Technology Division
Position Summary:
An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives.
Responsibilities:

- Evaluate machine learning processes and select appropriate models.
- Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems.
- Collaborate with cross functional teams to establish goals for AI processes.
- Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure.
- Stay updated on the latest AI developments and technologies.
- Hands‑on experience fine‑tuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management.
- Proven ability to design and implement production‑grade LLM solutions such as RAG pipelines, agents, and tool/function‑calling systems.

Job Description Title: Artificial Intelligence (AI) Engineer III (2316)
Location: Melbourne, Florida
Openings: 1
Work Model: Hybrid, 2 - 3 days in office
Job Type: Contract
Duration: 1 Year
Rate: $61/hour (W2) + Benefits
Hours: 40 hours/week, 8 - 5
Project: Technology Division
Position Summary:
An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives.
Responsibilities:

- Evaluate machine learning processes and select appropriate models.
- Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems.
- Collaborate with cross functional teams to establish goals for AI processes.
- Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure.
- Stay updated on the latest AI developments and technologies.

Strong Large Language Model (LLM) Expertise

- Hands‑on experience fine‑tuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management.

LLM Application & System Architecture

- Proven ability to design and implement production‑grade LLM solutions such as RAG pipelines, agents, and tool/function‑calling systems.

Production MLOps & Model Lifecycle Management

- Experience owning the end‑to‑end ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.

Advanced Python & Software Engineering

- Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems.

Cloud‑Based Scalable ML Infrastructure

- Hands‑on experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPU‑based ML workloads.

Qualifications:

- Masters degree in Computer Science, Engineering, or a related field.
- Proven experience as an AI Engineer or in a similar role.
- Strong programming skills in languages such as Python, R, or Java.
- Experience with machine learning frameworks and libraries. Excellent analytical and problem-solving abilities.
- Effective communication and collaboration skills.

- Base salary + super + uncapped commissions: your earning potential is in your hands
- Sell AI that helps businesses: practical solutions that save time and drive growth
- Join a growing AI business: make a real impact and help shape what comes next

About the role

We’re looking for an AI Growth Partner who knows how to have great conversations, understand what a business actually needs, and turn that into the right solution.

You’ll own the sales process from the first conversation through to signing the client. You’ll be speaking with business owners and leaders, understanding their challenges, and showing them how BusinessAI can help them save time, improve their margins and grow.

The good news? You won’t be starting from scratch. You’ll have warm leads coming from events, webinars, campaigns and our SDR team, with plenty of opportunity to build your own pipeline too.

This isn’t about pushing the biggest package or making a quick sale. We want someone who can genuinely understand the customer, recommend what’s right for them, and build relationships that last.

What you’ll be doing

- Have conversations with business owners and understand what they really need
- Guide prospects through the sales process from first chat to signed agreement
- Recommend the right BusinessAI program or membership for each client
- Follow up with warm leads and create your own opportunities
- Present on Zoom, one-on-one and at events or webinars
- Keep your pipeline up to date and stay on top of your targets
- Work closely with our Consulting and Product teams to make sure clients have a smooth handover
- Share what you’re hearing from customers to help us improve our offers

What we’re looking for

You’ll ideally have 5+ years of B2B or service-based sales experience, particularly selling consulting, professional services, subscriptions or memberships.

More importantly, you’ll be someone who:

- Is confident speaking with business owners and senior decision-makers
- Knows how to ask good questions and actually listen to the answers
- Can explain something complicated in a simple, relatable way
- Is comfortable selling through conversations rather than hard-selling
- Understands that a great sale is one where the customer gets a outstanding outcome too
- Is comfortable using CRMs and technology
- Is curious about AI and excited about where it can take businesses
- Is motivated, proactive and enjoys working in a fast-moving environment

About BusinessAI

BusinessAI helps small and medium businesses make AI useful in the real world.

We’re not interested in selling AI just for the sake of it. We help businesses figure out where AI can save them time, reduce costs and create new opportunities and then help them actually use it.

We’re growing quickly, and this is a great opportunity to join while there’s still plenty of room to make your mark.

Ready to make an impact?

If you’re a strong salesperson who loves working with people, enjoys a challenge and is excited about AI, we’d love to hear from you.

Apply now and come help us make AI practical for real businesses.

We are seeking 6 talented and forward-thinking AI/ML Engineers to design, build, and scale enterprise-grade artificial intelligence and machine learning solutions. You will be responsible for taking models from initial prototype to robust, production-level deployment and integrating these solutions within Downer’s broader technology landscape.

This role is suited to collaborative, quality-focused engineers who enjoy building, testing and improving production-ready AI solutions with an agentic first mindset. You will work across enterprise scale AI platforms including Azure Databricks and MS Foundry and be well versed in engineering tools such as Claude Code, Codex, Cursor and/or Github Copilot.

You’ll be working within product delivery teams and will collaborate with architecture, cyber security, data governance and platform engineering teams as well as being a key influencer with business stakeholders.

This position is Australia-based, with Sydney, Melbourne or Brisbane preferred and may require occasional travel to various Downer sites.

About the Role

In this role, you will:

- Design, build, test and deploy enterprise grade AI solutions and agentic workflows across MS Azure and Databricks ecosystems.
- Using manual and spec-driven techniques, develop clean, testable and well-documented Python, C# and SQL code that meets engineering standards and supports long-term supportability.
- Develop integrated PDLC and DDLC agent workflows which delivery software applications, data pipelines and products.
- Build AI solutions using frontier and open weight models using RAG, VectorDBs, Knowledge Graphs and MCP servers.
- Use Azure AI Foundry, Databricks Mosaic AI and approved AI engineering tools to support solution development and delivery.
- Contribute across the delivery lifecycle, including problem framing, data exploration, prototyping, feature engineering, model evaluation, deployment, monitoring and support.
- Design and maintain MLOps pipelines, including CI/CD for machine learning, automated model training, evaluation gates, deployment and monitoring.
- Manage experiment tracking, model versioning and reproducibility through the Databricks MLflow model registry.
- Implement solution performance monitoring with evaluation agents for drift detection, hallucination, and model performance degradation.
- Apply spec-driven development, DevOps, secure-by-design, responsible AI and human-in-the-loop review practices.
- Contribute to engineering standards, code reviews, prompt reviews, technical design sessions and agile delivery ceremonies.
- Produce and maintain technical documentation, including architecture decision records, runbooks, model cards, data lineage records and pipeline documentation.
- Support and mentor junior engineers through knowledge sharing, pairing and agent-assisted delivery walkthroughs.
- Work with architecture, governance and cyber security teams to ensure solutions meet Downer’s enterprise, security and responsible AI standards.
- Contribute to cost optimisation and FinOps practices across Azure Databricks and Azure AI Foundry.

This is an opportunity to contribute to Downer’s uplift in AI-native delivery while developing your technical depth across modern AI/ML engineering, agentic workflows and governed enterprise AI.

Our Ideal Candidate

You are a hands-on engineer who enjoys transforming complex problems into practical, reliable and maintainable solutions.

You are curious about emerging AI engineering tools, a coder at heart but take pragmatic and responsible approaches to using AI tooling to accelerate development in enterprise environments. You are comfortable collaborating with product, architecture, security, governance and business stakeholders, and can explain technical concepts, limitations and trade-offs clearly to both technical and non-technical audiences.

What You Will Bring

- A tertiary qualification in Computer Science, Computer Engineering, Software Engineering, Information Technology, Data Science, Mathematics, Statistics, quantitative analysis or a related discipline.
- Relevant industry certifications in Azure AI, Databricks, GitHub, software engineering, DevOps, security or cloud data platformswill be highly regarded.
- At least five years’ total experience across software and/or data engineering or related technical field.
- At least two years relevant hands-on experience developing advanced analytics, machine learning or generative AI solutions for production environments.
- Practical experience with Azure and Databricks ecosystems, including exposure to Azure AI Foundry, Databricks Mosaic and Genie Code.
- Familiarity with model hosting in platforms such as Azure AI Foundry, Databricks Mosaic AI and AWS Bedrock is highly regarded.

Experience with AI engineering tools such as Claude Code, Codex, Cursor, GitHub Copilot and Copilot Studio is highly regarded.

Experience in DevOps engineering, CI/CD, secure-by-design principles and FinOps controls recognising the importance of balancing token-economics with performance.

- Familiarity with orchestration frameworks such as CrewAI, Strands Agents and Microsoft Agent Framework is valued, as is familiarity with spec-driven development, agentic product delivery lifecycle practices and agentic business workflows.
- Robust hands-on capability in Python, C#, SQL, Git-based version control, automated testing, code review and production-quality engineering practices.

Practical understanding of platform controls implemented through Unity Catalog, Microsoft Purview and Agent 365 as part of an enterprise Data & AI governance ecosystem.

You are known for your curiosity, sound technical judgement and commitment to producing secure, reliable and explainable AI solutions that deliver meaningful business outcomes.

Benefits Of Working with Downer

- Work with an ASX-listed company, working with market leaders.
- Grow your career with us through personal and professional development and continuous learning:
- Professional development programs
- Access to qualified memberships and industry networks

- Be part of a team that cares, with support that is flexible around employee wellbeing needs:

- Flexible work arrangements
- Parental leave
- Employee Assistance Program
- Programs promoting diversity and inclusion

- A range of corporate benefits, including:

- Discounted services (car hire, hotels, insurance, retail stores, gyms)

Why Downer?

As a trusted name in infrastructure, transport, facilities management, and construction, Downer is committed to delivering projects that create a lasting, positive legacy.

We're committed to building a team that reflects the diverse communities we serve, and we welcome people of all ages, genders, sexual orientations, cultures, abilities, and lived experiences. We especially encourage applications from those whose voices have traditionally been underrepresented in our industry, including women, Aboriginal and Torres Strait Islander Peoples, Māori and Pasifika Peoples, veterans, people with disability, and neurodivergent individuals.

Even if your experience doesn't align perfectly with this role, we'd still like to hear from you. If it feels like the right fit, apply — potential counts, and so do you.

As a WORK180 Endorsed Employer, we support flexibility that works for your life, inclusive leadership that values your voice, and equitable access to opportunity so you can do your best work and bring your whole self to it.

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📌 AI Training & LLM Systems Engineer (Melbourne)
🏢 Affinda Group
📍 Melbourne