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For Companies At a Glance
- Tasks: Build and own in-house AI frameworks, delivering production-grade solutions.
- Company: Innovative tech firm focused on cutting-edge AI development.
- Benefits: Competitive salary, flexible work options, and opportunities for continuous learning.
- Why this job: Join a passionate team and make a real impact in the AI landscape.
- Qualifications: AI-focused degree and 3+ years of professional experience required.
- Other info: Fast-paced environment with excellent growth potential.
The predicted salary is between 36000 - 60000 £ per year.
We are hiring an AI engineer to help build and own our in-house agentic RAG framework, reducing reliance on external AI consultancies and delivering production-grade AI solutions across the business. This is not a generic data science role. Strong AI fundamentals and real-world engineering experience are essential.
Role Overview
- Maintain and extend large, coded AI solutions
- Design and build advanced agentic RAG systems for document intelligence
- Rapidly develop proofs of concept using AI-assisted development
- Evaluate AI vendors and support buy-versus-build decisions
- Deliver actionable insights to CIO, research, and operations teams
Requirements
- AI-focused Computer Science degree (Bachelor’s or Master’s); formal AI study required
- 3+ years professional experience, including production ML systems
- Strong understanding of AI algorithms, model types, and limitations
- Hands-on experience with:
- LangChain and/or LlamaIndex
- Advanced Python
- Agentic RAG architectures
- Azure AI tools (or ability to learn quickly)
Nice to have
- Deep learning
- NLP
- Computer vision
- Reinforcement learning
- Generative AI
- Backend APIs
- AI-assisted development tools
Candidate Profile
- Resilient, driven, and solution-oriented
- Comfortable working at high pace and under pressure
- Genuinely passionate about AI and continuous learning
AI Engineer (Agentic RAG & LLM Systems) in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Agentic RAG & LLM Systems) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LangChain or LlamaIndex. We want to see your hands-on experience and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AI fundamentals. We recommend practising coding challenges and discussing your past projects. Be ready to explain your thought process and decision-making!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace AI Engineer (Agentic RAG & LLM Systems) in London
Some tips for your application 🫡
Show Off Your AI Skills: Make sure to highlight your strong AI fundamentals and any real-world engineering experience you've got. We want to see how you’ve tackled complex problems in the past, so don’t hold back!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to our job description. Mention specific projects or experiences that relate to building agentic RAG systems or using tools like LangChain and Python.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harrington Starr
✨Know Your AI Fundamentals
Make sure you brush up on your AI fundamentals before the interview. Be ready to discuss algorithms, model types, and their limitations in detail. This role is all about real-world engineering, so having a solid grasp of these concepts will show that you're not just book-smart but also practical.
✨Showcase Your Hands-On Experience
Prepare to talk about your hands-on experience with tools like LangChain, LlamaIndex, and Azure AI. Bring examples of projects where you've built or maintained large AI solutions. This will demonstrate your capability to deliver production-grade AI solutions, which is crucial for this role.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. They might ask you to solve a problem on the spot or evaluate a hypothetical AI vendor. Practising coding problems and being familiar with common AI scenarios can help you tackle these challenges confidently.
✨Demonstrate Your Passion for AI
Let your genuine passion for AI shine through. Share your experiences with continuous learning, whether it's through courses, personal projects, or staying updated with the latest trends. This role requires someone who is resilient and driven, so showing your enthusiasm will set you apart.