AI Engineer: LLMs, RAG & AI Agents in FinTech

Bumper; Sheffield; Hybrid; GBP 85,000 - 125,000; Full time

Benefits offered by this job

Private healthcare and Medicash plan

Company bonus scheme

26 days holiday + bank holidays

Job summary

Bumper is seeking an AI Engineer to design, build and deploy AI-powered applications and agents across its products. You will work with LLMs, RAG, and AI agents, crafting workflows and integrations with MCP and tool-calling capabilities.

Strong Python, Git, and prompt engineering are essential for delivering production-ready AI features. Join a fast-moving team collaborating with Product, Engineering and Data to reduce latency, cut costs and improve customer experiences.

Qualifications

• Strong Python programming skills.
• Experience building production AI applications using LLMs.
• Experience integrating models such as Claude, OpenAI, or Gemini.
• Strong understanding of Retrieval Augmented Generation (RAG).
• Experience building AI Agents and autonomous workflows.
• Experience with LangGraph, LangChain or similar AI orchestration frameworks.
• Understanding of Model Context Protocol (MCP) and AI tool integrations.
• Strong prompt engineering skills and experience working with structured outputs.
• Experience evaluating AI systems and improving response quality.
• Proficiency in Git and version control best practices.
• Focus on performance, accessibility, and user experience.
• Strong time-management skills and the ability to meet deadlines.
• Great collaboration skills for cross-departmental projects.

Responsibilities

• Design, build and deploy AI-powered applications and intelligent agents.
• Develop Retrieval Augmented Generation (RAG) solutions using structured and unstructured data.
• Integrate and evaluate Large Language Models including Claude, OpenAI, and Gemini.
• Design and implement AI workflows using frameworks such as LangGraph and LangChain.
• Build integrations using Model Context Protocol (MCP) and AI tool‑calling capabilities.
• Develop prompt engineering strategies and optimise AI performance, accuracy and reliability.
• Evaluate AI systems and continuously improve response quality while reducing hallucinations.
• Monitor AI applications in production, optimising latency, cost and reliability.
• Research and implement new AI technologies, frameworks and best practices.
• Collaborate with Product, Engineering and Data teams to deliver end‑to‑end AI features.
• Contribute to AI governance, testing, evaluation and observability.
• Use Git for version control and tracking code changes.
• Write secure, maintainable and well‑documented code.

Skills

Python programming

LLMs production apps

Model integration

RAG expertise

AI Agents

LangGraph/LangChain

MCP & tool integration

Prompt engineering

AI system evaluation

Git proficiency

Performance & UX

Time management

Collaboration

Tools

LangGraph

LangChain

MCP

Job description

Bumper is seeking an AI Engineer to design, build and deploy AI-powered applications and agents across its products. You will work with LLMs, RAG, and AI agents, crafting workflows and integrations with MCP and tool-calling capabilities.

Strong Python, Git, and prompt engineering are essential for delivering production-ready AI features. Join a fast-moving team collaborating with Product, Engineering and Data to reduce latency, cut costs and improve customer experiences.