RAG Engineer

Jobsinkent; United Kingdom; Ibrido; CAD 151.000 - 226.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary and bonus

Flexible remote/hybrid working

Personal development budget

Opportunity to influence future AI方向

Descrizione del lavoro

Jobsinkent in the UK seeks a skilled RAG Engineer to design and build enterprise-grade AI applications powered by large language models. Work remotely or in a hybrid setup, collaborating with ML and software teams to deliver scalable AI products.

You will optimize retrieval pipelines, embeddings, and guardrails while integrating with enterprise data sources and APIs. The role demands strong Python, experience with LangChain or LlamaIndex, and a keen eye for reliability and security.

Competenze

• Commercial experience building RAG-based AI applications.
• Strong Python development skills and experience with LLM frameworks.
• Familiarity with vector databases and embedding models.
• Experience deploying AI apps on major cloud platforms.

Mansioni

• Design and build Retrieval-Augmented Generation 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 guardrails.
• Integrate LLMs with enterprise APIs, databases and knowledge bases.
• Collaborate with ML, software and product teams to deploy at scale.

Conoscenze

Python development

LangChain / LlamaIndex

Vector databases

Embedding models

OpenAI / Anthropic / Gemini

Prompt engineering

Cloud deployment

Communication skills

Strumenti

Kubernetes

Docker

Descrizione del lavoro

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.