At a Glance
- Tasks: Own and optimise AI pipelines, building impactful LLM systems for real-world applications.
- Company: Exciting AI start-up in London with a strong engineering culture.
- Benefits: Competitive salary, equity options, and hybrid work environment.
- Other info: Opportunity to shape product direction in a high-growth environment.
- Why this job: Join a rapidly scaling team tackling complex AI challenges with real impact.
- Qualifications: Experience in production LLM systems and strong software engineering background.
The predicted salary is between 90000 - 110000 £ per year.
I’m partnered with one of the most exciting AI start-ups in London right now as they scale towards Series B. They’re building production AI systems that turn weeks of due diligence into minutes - already trusted by major enterprises, financial institutions, consultancies, universities, and global organisations. This is not an AI research role. It’s about building real-world LLM systems that customers rely on for high-stakes decisions.
The role:
- You’ll own parts of the AI pipeline end-to-end across:
- LLM agents
- Entity resolution
- Report generation
- Evals & system optimisation
- Accuracy, latency, and cost improvements
The environment is highly agentic - Claude Code, Codex, and AI-native workflows are embedded into how the engineering team operates day-to-day.
They’re looking for someone who:
- Has shipped production LLM systems (RAG, prompting, agents)
- Comes from a strong software engineering background
- Has worked in fast-moving startups or high-performing tech teams
- Understands evals, reliability, and real-world AI trade-offs
- Wants high ownership and the chance to shape product direction
Why join?
- Team scaling rapidly post-fundraise
- Strong product-market fit and global customer growth
- Complex real-world AI problems with genuine impact
- High-calibre engineering culture with lots of ownership
Location: London hybrid
Salary: £90k–£110k + equity
High-growth AI company
Senior AI Engineer - Series A - £110k + Equity in London employer: Few&Far
Join a dynamic and innovative AI start-up in London that is at the forefront of transforming due diligence processes for major enterprises and institutions. With a strong emphasis on employee ownership and a high-calibre engineering culture, this company offers exceptional growth opportunities and the chance to work on impactful real-world AI systems. Enjoy a hybrid work environment that fosters creativity and collaboration as you contribute to cutting-edge technology in a rapidly scaling team.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - Series A - £110k + Equity in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, especially those who work at start-ups. Use LinkedIn to connect and engage with them; you never know who might have a lead on that Senior AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your production LLM systems. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your software engineering fundamentals. Be ready to discuss your experience with AI pipelines and how you've tackled real-world challenges in previous roles.
✨Tip Number 4
Don’t forget to 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!
We think you need these skills to ace Senior AI Engineer - Series A - £110k + Equity in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how your experience aligns with our mission of building impactful AI systems. Share specific projects or achievements that highlight your skills in LLM systems and real-world applications.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with production LLM systems and any relevant software engineering background. We love seeing candidates who take the time to connect their skills with what we’re looking for!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the Senior AI Engineer position without wading through unnecessary fluff.
Apply Through Our Website:Don’t forget to apply 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 us you’re serious about joining our exciting team as we scale towards Series B!
How to prepare for a job interview at Few&Far
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM systems and the specific technologies mentioned in the job description. Be ready to discuss your experience with production AI systems, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Engineering Skills
Prepare to talk about your software engineering background in detail. Highlight projects where you've shipped production systems, especially in fast-paced environments. Use specific examples to demonstrate your problem-solving skills and technical expertise.
✨Understand the Company’s Mission
Research the start-up and understand their product-market fit and the impact of their AI solutions. Be prepared to discuss how you can contribute to their goals and what excites you about working on real-world AI problems.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their engineering culture, the challenges they face with LLM systems, and how they measure success in their projects. This will demonstrate your enthusiasm and strategic thinking.
