Remote AI Engineer: Production-Ready LLM/RAG

Altech Group Ltd; United Kingdom; Remote; GBP 70,000 - 120,000; Full time

Job summary

Altech Group Ltd. is hiring an AI Engineer to own data, knowledge and retrieval systems powering an AI assistant for mortgage processes. You’ll build production data pipelines, develop LLM/RAG solutions and ensure accurate, compliant information flows for hundreds of advisers across the UK.

You’ll integrate data sources, refine indexing, evaluate AI performance and work closely with engineering and product teams to drive adoption of an AI-first platform.

Qualifications

• Experience building production data pipelines and working with large data sets.
• Hands-on with LLM/RAG solutions and embedding-based retrieval.
• Familiarity with cloud-based AI tools (AWS Bedrock or similar).
• Ability to troubleshoot data and AI issues in production environments.

Responsibilities

• Build and maintain production data pipelines using Python, SQL and APIs.
• Develop and improve LLM and Retrieval-Augmented Generation systems.
• Ingest and structure data sources for reliable AI access and indexing.
• Create evaluation frameworks to monitor AI accuracy and performance.
• Investigate and fix incorrect AI responses and data issues.
• Establish data governance to ensure accuracy, security and compliance.
• Collaborate with engineers, product teams and business users to drive adoption.

Skills

Python

SQL

APIs

production data pipelines

LLM / RAG

embeddings

retrieval strategies

context engineering

AI evaluation

cloud technologies

AWS Bedrock

LangGraph

problem-solving

communication

Tools

AWS Bedrock

LangGraph

Job description

Altech Group Ltd. is hiring an AI Engineer to own data, knowledge and retrieval systems powering an AI assistant for mortgage processes. You’ll build production data pipelines, develop LLM/RAG solutions and ensure accurate, compliant information flows for hundreds of advisers across the UK.

You’ll integrate data sources, refine indexing, evaluate AI performance and work closely with engineering and product teams to drive adoption of an AI-first platform.