Artificial Intelligence Engineer

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

Want to build AI that actually makes a difference, rather than another proof of concept that never sees production?

We're working with an ambitious, private equity-backed financial services group that's investing heavily in AI to transform how its businesses operate.

With hundreds of advisers across the UK, they're building an AI-first technology platform designed to make complex mortgage processes faster, smarter and more efficient.

They're now looking for an AI Engineer to take ownership of the data, knowledge and retrieval systems powering their AI assistant.

This is a genuinely hands‑on opportunity where you'll have real ownership, work closely with a small innovation team and see your work used by hundreds of people across the business.

The opportunity

The business is developing an intelligent AI assistant that combines lender criteria, client information, business rules and historical case data to help mortgage advisers make better decisions and process cases more efficiently.

Your job is to make sure the AI has access to the right information, retrieves it accurately and continues to improve.

You'll own the journey from raw data through to the context an LLM uses to generate reliable answers.

What you'll be doing

• Building and maintaining production data pipelines using Python, SQL and APIs.
• Developing and improving LLM and RAG-based systems.
• Integrating new data sources and optimising how information is structured, indexed and retrieved.
• Building evaluation frameworks to measure AI accuracy, reliability and performance.
• Investigating inaccurate AI responses and fixing the underlying data or retrieval issues.
• Establishing data governance processes to ensure information is accurate, secure and compliant.
• Working closely with engineers, product teams and business users to drive adoption and continuous improvement.

What we're looking for

We're particularly interested in engineers who combine strong data engineering fundamentals with genuine hands‑on experience of LLMs and retrieval systems.

You'll ideally bring:

• Strong commercial experience with Python, SQL, APIs and production data pipelines.
• Hands‑on experience building LLM / RAG solutions. Personal projects count if you can demonstrate what you've built.
• An understanding of embeddings, retrieval strategies, context engineering and AI evaluation.
• Experience working with cloud‑based technologies. AWS Bedrock and LangGraph would be particularly relevant but experience of similar tools would work too.
• Strong problem‑solving skills and the ability to troubleshoot complex data and AI issues.
• The ability to communicate technical concepts clearly to non‑technical stakeholders.

Experience within financial services, mortgages or other regulated environments would be useful, but isn't essential.

Why consider it?

• Remote working arrangement.
• The opportunity to build and shape a production AI platform with a genuine business use case.
• Real ownership of the data and AI architecture rather than simply maintaining someone else's solution.
• Direct exposure to an ambitious innovation team with significant investment behind it.
• The chance to work on technology that will be used by hundreds of professionals.
• A business actively investing in AI as a core part of its future strategy.

Interested?

If you're a Data Engineer who has moved into AI, or an AI Engineer with strong data engineering foundations, this could be an excellent next step.

You don't need to have worked in financial services. What matters is that you understand how to make LLM‑powered systems accurate, reliable and genuinely useful in production.