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# AI Engineer

- **Company:** Insight
- **Location:** London, UK
- **Salary:** £75,690.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Application Performance Management, Architectural Patterns, Microsoft Azure, Cloud Computing, Cloud Engineering, Encodings, Python (Programming Language), Search Technologies, Systems Integration, Data Logging, Enterprise Software Applications, Large Language Models, Prompt Engineering, IT Architecture, Generative AI, AI Platforms, Low Latency, Real Time Data, GPT
- **Published:** August 1, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5822593994

## About the Role

Strong Python programming abilities.

 - Experience developing and optimizing cloud-based AI applications.
 - Familiarity with AI/ML and agentic frameworks (e.g., LangChain, LangGraph, Pydantic).
 - Advanced knowledge of AI architecture patterns, especially in Azure environments.
 - Understanding of GPT token usage, latency, analytics, and budget controls.
 - Experience with prompt engineering, vector databases, embedding/chunking, and real-time data integration.
 - Hands-on experience with Azure OpenAI and Azure AI Search.
 - Commitment to quality, maintainability, documentation, and continuous learning.
 - Preferred/Nice to Have:
 - Knowledge of alignment and feedback techniques, synthetic data, and human-in-the-loop processes.
 - Experience designing evaluation frameworks for explainability, safety, and operational quality.
 - Familiarity with packaging AI features for production (logging, monitoring, observability, controlled rollout)., Pragmatic, hands-on engineer capable of building production-grade AI services and integrating LLMs in enterprise environments.

## Description

Design and Develop AI Services: Build AI-powered solutions to enhance employee experience and address HR technology use cases.

 - Integrate and Optimize LLMs: Work with large language models (LLMs) and intelligent systems, primarily using Azure OpenAI and other cloud-native AI tools.
 - Apply Advanced AI Patterns: Utilize architecture patterns like Retrieval-Augmented Generation (RAG), Agentic RAG, MCP, Function Calling, and A2A for enterprise applications.
 - Engineer Prompt and Context Pipelines: Develop robust pipelines for prompt design, context handling, embeddings, chunking, and real-time data integration.
 - Evaluate and Optimize Models: Test and enhance model output and application performance for relevance, robustness, fairness, and explainability.
 - Implement Responsible AI Controls: Apply guardrails, prompt testing, adversarial/bias testing, and controls for responsible AI application delivery.
 - Deploy Cloud-Based Solutions: Build and scale AI applications on Azure Cloud Services, including Azure OpenAI and Azure AI Search.
 - Ensure Quality and Security: Deliver secure, reliable, observable, maintainable, and well-documented AI solutions.


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