AI Engineer

Opus Recruitment Solutions
London, United Kingdom
2 weeks ago
£60,000 – £70,000 pa
Applications closed

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Salary

£60,000 – £70,000 pa

Job Type
Permanent
Work Pattern
Flexible
Work Location
Remote
Seniority
Mid
Education
Degree
Posted
19 May 2026 (2 weeks ago)
AI Engineer | Python | LLM | Agentic Workflows | LangGraph | EducationTech | Remote, London | £65k

Looking to help shape AI Strategy for a scaling Tech-for-Good business?

I'm partnered with a AI-first data and analytics platform built for schools, multi-academy trusts and education groups. Their technology connects fragmented school data - attendance, behaviour, wellbeing, assessment, SEND and unstructured documents - and uses a multi-agent AI system to surface actionable insights for school leaders in seconds.

They are in a high-growth phase, backed by Innovate UK funding, with a roadmap spanning predictive analytics, supplier intelligence, and international expansion. The team is mission-driven, remote-first, and growing quickly - every hire has very meaningful impact.

They are looking for an AI Developer to extend, improve and scale their 22-agent agentic AI platform. The system is built on LangGraph with a supervisor-of-supervisors architecture, integrates multiple LLMs (including Google Gemini), and is monitored via LangSmith.

You’ll build and refine agent sub-graphs, improve prompt engineering, contribute to LLM benchmarking, and help evolve the platform as new capabilities are added — including semantic query generation and predictive analytics integration.

This is a production engineering role: you’ll write robust Python code, ship features, and work in a cloud-native environment.

Core Responsibilities:
  • Agentic Workflow Development: Build and refine LangGraph/LangChain agent sub-graphs and multi-step workflows.
  • LLM Integration: Improve prompt engineering, orchestrate multiple models, and implement tool-calling logic.
  • System Observability: Use LangSmith or equivalent tracing/logging to monitor agent behaviour and performance.
  • Benchmarking & Evaluation: Contribute to LLM benchmarking across tasks and model families.
  • API Engineering: Build and consume REST APIs; integrate agentic workflows with backend services.
  • Architecture Evolution: Help evolve the platform as new capabilities (semantic query generation, predictive analytics) are added.

In return, you’ll get a competitive salary of up to £65k, and very flexible work arrangements across the UK.

Unfortunately we cannot offer sponsorship at this time.

Please contact me at to discuss further!

AI Engineer | Python | LLM | Agentic Workflows | LangGraph | EducationTech | Remote, London | £65k

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Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.