AI Engineer
other jobs Opus Recruitment Solutions Ltd
Added before 1 Days
- England,London,City of London
- Full Time, Permanent
- £60,000 - £70,000 per annum
Job Description:
Full job descriptionAI 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
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
Job number 3767549
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Company Details:
Opus Recruitment Solutions Ltd
Innovative and award-winning. Niche and global. Unrivalled and ever-evolving. Our specialist recruitment solutions are only as successful as the clien...