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# Machine Learning Engineer

- **Company:** Capgemini
- **Location:** London, UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Computer Programming, Databases, Data Cleansing, Python (Programming Language), Machine Learning, Performance Tuning, Systems Integration, Enterprise Software Applications, Feature Engineering, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, HuggingFace
- **Published:** July 31, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=0660599183f320c9

## About the Role

We are seeking a skilled Generative AI Engineer to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and related technologies. The ideal candidate will have experience building scalable AI solutions, integrating foundation models, and optimizing AI systems for enterprise use cases., * Strong programming skills in Python.

 * Experience with LLMs and Generative AI frameworks.
 * Hands-on experience with:
 * LangChain / LangGraph
 * Semantic Kernel
 * OpenAI APIs / Azure OpenAI
 * Hugging Face
 * Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus)
 * Machine Learning fundamentals.
 * NLP concepts and transformer architectures.
 * Model evaluation and observability.
 * Data preprocessing and feature engineering.

## Description

* Design and develop Generative AI applications using LLMs such as GPT, Claude, Gemini, Llama, and Mistral.
 * Build and optimize RAG pipelines using vector databases and embedding models.
 * Develop AI agents and multi-agent workflows using frameworks like LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen.
 * Fine-tune, evaluate, and monitor LLM performance for business use cases.
 * Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
 * Implement prompt engineering strategies to improve response quality and accuracy.
 * Develop model guardrails, content filtering, and responsible AI controls.
 * Conduct AI model testing, benchmarking, and performance optimization.


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