AI Developer
(Pro-Code / AI Engineering Focus) — Corporate Platforms, M365 & AI/Automation
Location: Offshore (UK shift)

Role Summary
We are looking for a pro-code AI Developer who builds production-grade AI systems in code. You will design and build AI agents, RAG pipelines, and AI-powered applications primarily in Python — orchestrating LLMs with frameworks such as LangChain, LangGraph, and AutoGen, integrating them into enterprise systems via APIs and MCP, and deploying them on the cloud (including Azure AI Foundry). The ideal candidate has a robust software-engineering foundation, a strong bias to build, and can move from a loosely defined idea to a working proof-of-concept in days, not weeks.

What You’ll Do
Design and build AI agents, RAG pipelines, and AI-powered applications in code (primarily Python), orchestrating LLMs with frameworks such as LangChain, LangGraph, and AutoGen.
Implement advanced RAG techniques — hybrid search, re-ranking, contextual chunking, and long-context strategies — and agentic orchestration patterns (ReAct, plan-and-execute, multi-agent).




Build and integrate APIs and enterprise connectors, including MCP-based integrations, to connect AI capabilities with enterprise systems and data sources.
Deploy, configure, and operate AI workloads on the cloud, owning solutions end-to-end from prototype to production.
Design AI solutions that scale — accounting for performance, throughput, latency, cost, and reliability as usage grows from POC to enterprise scale.
Rapidly prototype: take a loosely defined idea or business problem and produce a working proof-of-concept quickly, then iterate based on feedback.
Apply sound engineering judgment — error handling, evaluation, observability, security, and access considerations — across the solutions you build.

Required Qualifications
Strong hands-on software development experience in Python, with a solid engineering foundation (you can design, write, test, and debug production code).
Hands-on experien

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