Python Developer
Summary
A Python developer builds and scales a 22-agent agentic AI platform for an AI-first edtech company serving schools and academy trusts. Day to day: shipping production Python features, LangGraph/LangChain multi-step agent workflows, LLM orchestration (incl. Gemini), LangSmith observability, and REST API integrations.
Python Engineer | 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 a Python/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.
They are keen to aim for a Python Developer with some exposure to an AI environment and looking to develop their in an AI Engineer role.
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.