At a Glance
- Tasks: Develop and enhance 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 significant career growth opportunities.
- Why this job: Shape the future of AI in education and make a real difference.
- Qualifications: Experience in Python, LLMs, and AI development is essential.
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.
AI Engineer - Agentic Workflows & LLM Systems (Remote) 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 AI Engineer, you'll have the opportunity to make a significant impact in a scaling Tech-for-Good business, with access to flexible work arrangements and a competitive salary. The company fosters a collaborative culture that prioritises employee growth and development, ensuring that every team member plays a vital role in shaping the future of education technology.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Agentic Workflows & LLM Systems (Remote)
✨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 LLM systems. Share your work on GitHub or even write a blog post about your experiences. This will not only demonstrate your expertise but also make you stand out to potential employers.
✨Tip Number 3
Prepare for those interviews! Research common interview questions for AI Engineers and practice your responses. Be ready to discuss your experience with LangGraph, prompt engineering, and any relevant projects. Confidence is key, so rehearse until you feel comfortable!
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications and follow up if needed. Don’t miss out on your dream job!
We think you need these skills to ace AI Engineer - Agentic Workflows & LLM Systems (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, LLMs, and agentic workflows. We want to see how your skills align with our mission-driven approach and the tech-for-good aspect of our work.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI in education and how you can contribute to our high-growth phase. Keep it engaging and relevant to the role.
Showcase Your Projects:If you've worked on any projects related to LangGraph, multi-agent systems, or predictive analytics, make sure to mention them. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
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 in the job description, 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 to share examples of how you've tackled complex problems in AI development. Think about specific challenges you've faced with prompt engineering or system observability, and how you approached them. This will demonstrate your critical thinking and adaptability.
✨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 ready to discuss how your work can contribute to their goals. Showing genuine interest in their mission can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company’s future. 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 is the right fit for you.
