AI Engineering Lead

Technical Leadership & Architecture

• Set the technical direction for our enterprise AI assistant and agent platforms, making architectural decisions across LLM inference, agentic frameworks, context engineering, guardrails and system design .
• Own the selection, deployment and optimisation of LLM inference systems including AWS Bedrock and LiteLLM , with a focus on model routing, cost, latency and operational excellence.
• Design production-grade context pipelines, RAG systems and prompt architectures , establishing patterns, standards and evaluation practices for the team.
• Guide architectural decisions around token economics, context limits, latency budgets and capability-to-cost trade-offs .
• Establish robust guardrails, security and Responsible AI practices , addressing prompt injection, data leakage, authentication, access control and sensitive data handling across regulated markets.
• Make informed technology choices across agentic frameworks such as LangChain, LangGraph, Strands and ADK , and establish scalable orchestration and tool-use patterns.
  • Own problems end-to-end, from LLM integration and backend services through to user-facing interfaces, APIs and integrations using AWS services, MCP and modern engineering standards .