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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Agent Developer - **Company:** Lorien - **Location:** London, UK (Remote available) - **Contract:** Temporary contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Microsoft Azure, C Sharp (Programming Language), Code Coverage, Continuous Integration, Data Validation, Information Leak Prevention, Fault Tolerance, Github, Python (Programming Language), Azure Data Lake, Search Technologies, Microsoft SharePoint, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Git, Kubernetes, Production Code, Cosmos DB, Virtual Agents, Restful APIs, Software Version Control - **Published:** August 21, 2026 - **Apply:** https://www.careerboard.com/pt/en/find-jobs-in-United-Kingdom/-A94A319C89B7867F36/ ## About the Role * Strong software engineering skills in Python and/or C#/.NET, with production code in source control and test coverage. * Hands-on experience building LLM applications - agents, tool/function calling, RAG or orchestration frameworks (Microsoft Agent Framework, Semantic Kernel, AutoGen, LangChain, LangGraph or equivalent). * Practical prompt engineering skill, and the judgement to know when a prompt change is the wrong fix. * Experience with Azure OpenAI/Azure AI Foundry or a comparable managed LLM platform, including model selection and parameter tuning. * Retrieval and vector search experience: embeddings, chunking strategies, hybrid search, relevance tuning (Azure AI Search preferred). * Experience consuming and designing against REST APIs, with secure token-based authentication. * A rigorous approach to evaluating non-deterministic systems - you measure quality rather than asserting it. * Awareness of LLM risk: hallucination, prompt injection, data leakage, over-permissioned tools, and how to mitigate each. * Git-based collaborative development and CI/CD familiarity. * Production experience with the Microsoft Agent Framework or Azure AI Foundry Agent Service specifically. * Experience with Azure AI Content Safety, prompt shields or another guardrail stack. * Azure Cosmos DB data modelling. * Certifications such as AI-102 or equivalent. ## Description We are currently recruiting for an AI Agent Developer with Azure experience to join one of our Insurance clients on a 6-month contract., * Design and implement agents and multi-agent workflows using the Microsoft Agent Framework and Azure AI Foundry, including single-agent, supervisor/worker, sequential and handoff orchestration patterns. * Build the agent orchestration layer: intent routing, planning, tool selection, conversation and thread state, human-in-the-loop checkpoints, retries, timeouts and graceful degradation. * Define and implement tool/function calling contracts against the Agent Data API and Member Data API, including strict schemas, input validation, authorisation checks and safe handling of partial or missing data. * Design and tune the retrieval-augmented generation pipeline over Azure AI Search - chunking, embeddings, hybrid and semantic search, filters, reranking, query rewriting and citation of sources - across the SharePoint, Azure Data Lake and GitHub knowledge base. * Engineer, version and test system prompts, instructions and grounding strategies; select and configure the appropriate Azure AI models for each task with an eye on quality, latency and cost. * Implement persistent agent state, memory and audit trails in Azure Cosmos DB via the Agent Data API. * Build the evaluation harness: golden datasets, groundedness, relevance, task-completion and safety metrics, offline and online evaluation, and regression gating of prompt and model changes in CI. * Integrate guardrails end to end - Azure AI Content Safety, prompt-shield/jailbreak defences, PII handling, refusal and escalation behaviour, and grounding constraints to prevent hallucinated advice. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Implementing an Event Sourcing strategy on Azure](https://www.wearedevelopers.com/videos/688-implementing-an-event-sourcing-strategy-on-azure) ## Related Articles - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)