We are seeking an experienced Senior AI Engineer/Developer to lead the design, development, deployment and optimisation of AI platforms and applications. This is an exciting prospect to work with cutting-edge technologies including Large Language Models (LLMs), MLOps, cloud-native platforms and enterprise-scale AI solutions that support critical business outcomes.
About the Role:
As a Senior AI Engineer/Developer, you will play a leading role in developing secure, scalable and high-performing AI solutions across both on-premises and cloud-based environments. You will work closely with Data Scientists, Architects, Cyber Security teams and Platform Engineers to establish foundational AI capabilities, drive innovation and deliver enterprise-grade AI solutions.
The role requires solid software engineering expertise, deep AI/ML knowledge and the ability to lead technical outcomes within complex stakeholder environments.
Key Responsibilities:
Design, develop and deploy enterprise AI, ML and Generative AI solutions
Lead the engineering, integration and optimisation of AI platforms and applications
Build secure, scalable and reusable software solutions for AI workloads
Develop and maintain AI deployment pipelines and MLOps frameworks
Design and implement APIs, integrations and automation solutions
Collaborate with architects and technical teams to deliver end-to-end AI solutions
Provide technical leadership, mentoring and knowledge sharing across engineering teams
Drive software quality, security, testing and continuous improvement practices
Produce solution designs, technical documentation and implementation guidance
Ensure AI solutions meet security, governance and compliance requirements
Troubleshoot and resolve complex technical issues across AI and platform environments
Engage with stakeholders to communicate technical concepts, recommendations and outcomes
Skills & Experience:
Proven experience designing, developing and deploying enterprise AI,



Machine Learning and Generative AI solutions
Strong software engineering background with advanced Python development, automation and API integration expertise
Hands-on experience with MLOps practices, including model lifecycle management, training, deployment, monitoring and optimisation
Experience with LLM and Generative AI technologies, including RAG, embeddings, vector databases, Hugging Face and AI agent frameworks
Strong knowledge of containerisation and platform engineering using Docker, Podman and Kubernetes-based environments
Experience implementing CI/CD pipelines, Infrastructure as Code and DevOps/GitOps practices using tools such as GitHub, GitLab, Terraform, Ansible and Argo CD
Solid understanding of cloud and AI platforms, including AWS, Azure and associated AI/ML services
Experience with enterprise integration, REST APIs, authentication, OAuth/OIDC and distributed architectures
Strong understanding of security, DevSecOps, governance, compliance and secure-by-design principles
Excellent solution design, stakeholder engagement and technical leadership skills
AGSVA Security Clearance
Highly Desirable:
Experience with OpenShift AI and enterprise AI platforms
Experience with NVIDIA GPUs, CUDA and AI infrastructure optimisation
Knowledge of FinOps, observability and monitoring tools such as Prometheus and Grafana
Experience working within Government or highly regulated enterprise environments
What's on Offer?
Initial 12-month contract with extension opportunities
Work on high-profile AI and Generative AI initiatives
Hybrid working model following an initial onboarding period
Opportunities to influence AI strategy, architecture and engineering practices
Due to the nature of this role, this job is open to Australian Citizens only.
Calleo is an equal opportunity employer and we encourage applications from all people including Aboriginal and Torres Strait Islander peoples.
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📌 Senior Ai Software Engineer (Melbourne)
🏢 Calleo
📍 Melbourne