Applied AI Software Engineer

Lawrence Harvey
Yeadon, United Kingdom
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 110K

Job location

Remote
Yeadon, United Kingdom

Tech stack

Artificial Intelligence
Cloud Engineering
Graph Database
Python
Neo4j
Large Language Models
Prompt Engineering
Virtual Agents

Job description

Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs, A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms.

This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement.

You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices.

Requirements

  • Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure.
  • Hands-on Python development experience delivering production-grade systems.
  • Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks).
  • Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval).
  • Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration.

This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.

Apply for this position