RAG Engineer (Retrieval-Augmented Generation)
Location: UK (Remote/Hybrid)
Salary: £80,000 – £120,000 + Benefits (DOE)
We're looking for an experienced RAG Engineer to help design and build enterprise-grade AI applications powered by Large Language Models.
This is an opportunity to work on cutting-edge Generative AI solutions, building intelligent systems that combine LLMs with retrieval pipelines to deliver accurate, secure and scalable AI products.
What you'll be doing
- Design and build Retrieval-Augmented Generation (RAG) architectures.
- Develop production-ready AI applications using modern LLM frameworks.
- Optimise vector search and embedding strategies.
- Build ingestion pipelines for structured and unstructured data.
- Engineer prompts, evaluation frameworks and AI guardrails.
- Integrate LLMs with enterprise APIs, databases and knowledge bases.
- Work closely with ML Engineers, Software Engineers and Product teams to deploy AI solutions at scale.
What we're looking for
- Commercial experience building RAG-based AI applications.
- Strong Python development skills.
- Experience with LangChain, LlamaIndex or similar frameworks.
- Knowledge of vector databases such as Pinecone, Weaviate, Milvus or Chroma.
- Experience with embedding models and semantic search.
- Familiarity with OpenAI, Anthropic, Google Gemini or open-source LLMs.
- Understanding of prompt engineering, AI evaluation and hallucination mitigation.
- Experience deploying AI applications using Azure, AWS or GCP.
- Excellent communication skills and a passion for building production AI systems.
Desirable
- Experience with AI agents and multi-agent architectures.
- Knowledge of Kubernetes and Docker.
- Experience with CI/CD pipelines.
- Exposure to GraphRAG, knowledge graphs or hybrid search.
- Understanding of AI governance, security and responsible AI.
What's on offer
- Work on genuinely innovative AI products.
- Competitive salary and bonus.
- Flexible remote/hybrid working.
- Personal development budget.
- Opportunity to influence the future direction of enterprise AI.
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RAG Engineer employer: Jobsinkent
Join a well-established and growing business in Ashford as a Finance Manager, where you will play a pivotal role in shaping financial strategy and enhancing business performance. Enjoy a supportive work culture with a collaborative leadership team, flexible working arrangements, and opportunities for professional growth, all while benefiting from competitive salary and generous leave entitlements.
