A major financial services program is launching in January, and we’re seeking an experienced AI Engineer to help build and deploy next-gen solutions using LLMs, Generative AI, and modern MLOps.

You’ll be hands-on in developing scalable, production-ready systems embedded in a complex enterprise environment. The focus is real delivery, not just research—this role is ideal for someone who can move fast, ship code, and think strategically about AI in the real world.

What You’ll Be Doing:

• Designing and deploying LLM-powered workflows, GenAI tools, and agentic AI systems
• Building vector search and retrieval systems (FAISS, Pinecone), and data pipelines
• Implementing MLOps/LLMOps frameworks (MLflow, Weights & Biases), model monitoring, and observability
• Deploying into cloud-native environments (AWS, Azure, or GCP) using containerisation and infrastructure-as-code
• Working cross-functionally in a hybrid setting with product, engineering, and data teams

Ideal Experience:

• Advanced Python development and API integration
• Hands-on with LLMs (OpenAI, Anthropic, Meta), prompt engineering, and LangChain
• Strong understanding of Responsible AI and secure model deployment
• Familiarity with CI/CD, Docker/Kubernetes, and enterprise data workflows
• Bonus: Exposure to front-end stacks (React/TypeScript) or previous work in regulated environments

Interview: ASAP - Client should be interviewing this side of the New Year for mid-jan start.

Start Date: Mid-January

Engagement: Daily Rate Contract 6 months + extension likely.

Location: Hybrid (Sydney Preferred)

Rate: $1000-1200 per day depending on experience and contract length.

(Also Hiring: Senior AI Architect)

There’s also a more senior architect-level role available on the same program—best suited to those with experience leading AI solution design, architecting agentic ecosystems, and engaging with executive stakeholders. Let us know if that’s more aligned with your background.

Interested?

We’re lining up interviews now with a view to start in mid-January. If you're a contractor with proven experience in building GenAI systems at scale, get in touch to discuss further.