At a Glance
- Tasks: Develop and enhance AI workflows using cutting-edge technologies like LangGraph and LLMs.
- Company: Join a mission-driven tech-for-good company transforming education with AI.
- Benefits: Enjoy a competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Be part of a rapidly growing team with meaningful contributions to the future of education.
- Why this job: Make a real impact in education by shaping AI strategies and solutions.
- Qualifications: Experience in Python and AI development, with a passion for innovative technology.
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.
Artificial Intelligence Engineer employer: Opus Recruitment Solutions
Join a mission-driven, remote-first team that is at the forefront of transforming education through innovative AI solutions. As an Artificial Intelligence Engineer, you'll have the opportunity to make a significant impact in a scaling Tech-for-Good business, with competitive salary and flexible work arrangements that promote a healthy work-life balance. With a strong focus on employee growth and development, this role offers a unique chance to shape AI strategy while working on cutting-edge technology in a supportive and collaborative environment.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and education tech space on LinkedIn. Join relevant groups, attend virtual meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, Python, and agentic workflows. This could be anything from GitHub repos to case studies. When you apply through our website, include links to your work to make your application stand out.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with LangGraph, LLMs, and Python coding. Practice common interview questions and maybe even do some mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Follow up after your interviews! A simple thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind. Plus, it’s a great chance to reiterate why you’re the perfect fit for their team!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, LLMs, and any relevant projects that showcase your skills in agentic workflows and LangGraph.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for education tech and how you can contribute to our mission-driven team. Be specific about why you want to work with us and what you bring to the table.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them! Whether it's building agent sub-graphs or improving prompt engineering, we want to see your hands-on experience and creativity.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, LangGraph, and LLMs. Brush up on your knowledge of agentic workflows and how they apply to education tech. Being able to discuss these topics confidently will show that you're serious about the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using AI or data analytics. Think about how you’ve built or improved workflows in previous roles. This will demonstrate your ability to contribute meaningfully to their mission-driven team.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company’s goals and challenges. Inquire about their roadmap for predictive analytics or how they plan to evolve their platform. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values.
✨Demonstrate Your Collaborative Spirit
Since this is a remote-first role, highlight your experience working in distributed teams. Share examples of how you’ve successfully collaborated with others on projects, especially in a cloud-native environment. This will reassure them that you can thrive in their setup.
