AI Engineer

Opus Recruitment Solutions

London, United Kingdom

Last week

£60,000 – £70,000 pa

Salary

£60,000 – £70,000 pa

Job Type: Permanent
Work Pattern: Flexible
Work Location: Remote
Seniority: Mid
Education: Degree
Posted: 19 May 2026 (Last week)

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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 (Last week)

Save job

Create job alert

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 (url removed) to discuss further!

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