12th August, ****
Enterprise AI Project
Build & Deploy Production AI Solutions
6 months - with the view to extend
We are seeking a
Forward Deployed AI Engineer
to work directly with business teams to identify high-value problems and build, deploy and iterate AI-powered solutions that deliver measurable business outcomes.
This is a hands-on role spanning
AI engineering, software development, LLMs, agents and enterprise integrations
.
You will work with stakeholders to understand their workflows, prototype solutions and take them through to production.
Key Responsibilities:
Partner with business teams to identify and scope high-value AI opportunities.
Design, build and deploy production-grade AI applications, agents and automations.
Develop solutions using
LLMs, RAG, prompt engineering and agentic AI
.
Integrate AI solutions with enterprise data, APIs and systems.
Own solutions from discovery and prototyping through to production and ongoing improvement.
Build reusable AI skills, tools and components.
Drive adoption through documentation, onboarding and stakeholder enablement.
Apply security, privacy and responsible AI principles to all solutions.
Share learnings and reusable components across the wider AI engineering team.
Experience/ Skills Required:




Robust professional experience building and shipping
production software
.
Hands-on experience applying
AI/ML, LLMs or Generative AI
to real-world problems.
Strong
Python
skills, plus JavaScript/TypeScript or a comparable language.
Strong SQL and experience working with APIs and enterprise systems.
Experience with LLM frameworks such as
LangChain, LangGraph or Microsoft Agent Framework
.
Experience with vector databases or search technologies such as
Pinecone, Weaviate, pgvector or Azure AI Search
.
Experience with
Azure, AWS or GCP
and services such as Azure OpenAI, Bedrock or Vertex AI.
Understanding of RAG, agents, prompt engineering, evaluation and LLM observability.
Experience with Git, CI/CD and modern deployment practices.
Strong communication skills and the ability to work directly with non-technical stakeholders.
Desirable Experience in solutions engineering, consulting, internal AI platforms, forward-deployed engineering, agentic AI, cloud/data platforms or enterprise governance will be highly regarded.
This is an opportunity to combine engineering with real-world AI delivery - building solutions that are used by the business, not just prototypes.
To apply, click on the link.

📌 Generative Ai Engineer (New South Wales)
🏢 Genesis
📍 New South Wales