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Job Description

Senior AI Engineers - Generative AI & Information Retrieval

Hybrid London (1–2 days/week onsite)

Up to £130k + Equity + Benefits

We’re hiring three Senior AI Engineers to join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval, building production systems used by global customers.

You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features.

Open Senior Roles (3 Total)

1. Senior GenAI Engineer - Client Features

Build the next of customer-facing GenAI features.

You will:

Build LLM-powered workflows, chat systems, and assistant-style features. Develop simple, reliable systems that solve real customer problems (no over-engineering). Work closely with product and UX to shape user-facing AI experiences. Deploy LLM models and agentic components in production.

You bring:

Strong hands-on experience with GenAI, LLMs, agentic frameworks, or chat/workflow apps. Excellent Python and software engineering fundamentals. Solid cloud experience (AWS , GCP/Azure fine). Product-minded approach and ability to work cross-functionally.

2. Senior AI Engineer - Information Retrieval (Engineering-Focused)

Own engineering for large-scale Information Retrieval/NLP pipelines.

You will:

Build and optimise retrieval, ranking, and document processing systems. Implement transformers, embeddings, search pipelines and evaluation frameworks. Deploy and maintain ML/IR models in production.

You bring:

Strong ML engineering background. Experience in document processing, NLP, embeddings, transformers. Python expertise, solid engineering foundations. Experience shipping IR/ML systems in production environments.

3. Senior AI Engineer - Information Retrieval (Research-Focused)

Drive applied research within a production-focused Information Retrieval team.

You will:

Research and improve retrieval and NLP models. Design experiments, run evaluations, and iterate on modelling approaches. Collaborate closely with engineering to transition research into production.

You bring:

Strong applied research experience (PhD or academic work a plus). Deep background in retrieval, NLP, LLM evaluation, document understanding. Python & cloud experience and ability to contribute to production code when needed.

What We’re Looking For Across All Senior Roles

Technical Requirements

Strong Python skills Cloud experience (AWS ) Experience deploying ML/LLM/IR models Background in at least one of: LLMs & GenAI Information Retrieval NLP / Document Processing Transformer-based architectures Agentic or retrieval-augmented systems

Soft Skills & Mindset

Collaborative and pragmatic Comfortable in high-growth, product-driven teams Able to work fast without over-engineering Passionate about modern AI and problem-solving

These positions do not provide visa sponsorship and require existing right to work in the UK.

Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful.

If your skillset matched, please apply within.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.