Senior AI Engineer

Job Summary:

We’re hiring Senior AI Engineers who combine deep AI expertise with strong product instinct. You’ll own AI outcomes end-to-end: architecting and delivering AI solutions, then evaluating and optimising model performance in the hands of real users. We’re building something new to make government interactions simpler and more valuable for businesses.

Job Responsibilities:

• Customer-obsessed: You talk directly to users (businessowners, accountants, agency officers) to find where models fall short in ways benchmarks miss.
• Outcome-driven: You judge success by task completion, accuracy, latency and cost per inference, not architectural elegance.
• Decisive and iterative: You make clear calls under ambiguity, ship to generate signal, instrument everything, and close the loop quickly.
• Domain expert: You’ve scaled AI products in production and design for LLM failure modes such as hallucination, context degradation, prompt injection and latency under load.
• Commercially aware: You treat cost, latency and reliability as product constraints and can articulate tradeoffs clearly.
• A force multiplier: You make AI systems legible to PMs, engineers and analysts through clear documentation, decision records and honest communication of limitations.
• Optimistic problem-solver: You treat failures and constraints as engineering problems with tractable solutions.

Job Requirements:

• Advanced degree in computer science, data science, NLP, ML or deep learning
• 8+ years of experience
• Experience fine-tuning and scaling generative AI models, with strong knowledge of transformer-based LLMs, RLHF and fine-tuning at inference scale
• Experience deploying and scaling AI products in production on AWS, GCP or Azure
• Working knowledge of RAG, knowledge graphs, context engineering and prompt engineering
• Experience building evaluations and guardrails for agentic AI
• Experience with AI protocols (MCP, AG-UI, A2A, A2UI, etc.)
• Experience architecting a scalable AI tooling ecosystem

Skills

Azure AI, Deep Learning, Automated Tools, Engineering Documentation, Task Completion, Reliability Requirements, Computer Science, Transformer, Engineering Problem Solving, Data Science, Managing Ambiguity, Benchmarking, MCITP, Knowledge Graph, Prompt Injection, Agentic AI