At a Glance
- Tasks: Develop and scale AI workflows using cutting-edge technologies in a remote-first environment.
- Company: Join a mission-driven tech-for-good company transforming education with AI.
- Benefits: Enjoy a competitive salary, flexible work arrangements, and impactful projects.
- Other info: Be part of a rapidly growing team with excellent career growth opportunities.
- Why this job: Shape the future of education technology while making a real difference.
- Qualifications: Experience in Python and AI development, with a passion for innovation.
The predicted salary is between 65000 - 65000 € per year.
Looking to help shape AI Strategy for a scaling Tech-for-Good business? I'm partnered with an 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!
AI Engineer in London employer: Opus Recruitment Solutions
Join a mission-driven, remote-first team at the forefront of EducationTech, where your contributions as an AI Engineer will have a meaningful impact on shaping AI strategies for schools and education groups. With a competitive salary of up to £65k and flexible work arrangements, you'll thrive in a high-growth environment backed by Innovate UK funding, offering ample opportunities for professional development and innovation in a collaborative culture that values every team member's input.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and EducationTech. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on that perfect AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, or agentic workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and coding challenges. Practice explaining your thought process clearly, as communication is key in a remote-first environment like this one.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make a meaningful impact in the education sector.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your Python expertise, experience with LLMs, and any work you've done with agentic workflows or LangGraph.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about education technology and how you can contribute to our mission-driven team. Be specific about your past projects and how they relate to the responsibilities outlined in the job description.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them in your application. We love seeing practical examples of your work, especially if they involve AI, Python, or multi-agent systems.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific technologies mentioned, like LangGraph and LLMs. Brush up on your knowledge of agentic workflows and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in AI development. Think about times when you improved prompt engineering or contributed to benchmarking. Be ready to explain your thought process and the impact of your solutions.
✨Understand Their Mission
Since this is a Tech-for-Good business, it’s crucial to align with their mission. Research their impact on education and be prepared to discuss how your work can contribute to their goals. Show them you’re not just about the tech, but also about making a difference.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their future plans for AI integration or how they measure the success of their agentic workflows. This demonstrates your enthusiasm and strategic thinking.
