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- Tasks: Design and deploy cutting-edge AI algorithms that transform knowledge work.
- Company: Fast-growing AI startup with a technical founding team and strong investor backing.
- Benefits: Salary up to £180k, equity, visa sponsorship, and private medical insurance.
- Why this job: Join a high-impact team and shape the future of AI technology.
- Qualifications: Deep Python expertise and experience with LLMs and AI systems.
- Other info: Dynamic office environment with meals provided and opportunities for growth.
The predicted salary is between 108000 - 252000 £ per year.
AI Engineer – LLMs / Applied AI
London (onsite) Salary up to £180k + equity
We’re working with a fast-growing AI startup building proprietary algorithms that are redefining how complex knowledge work is done. With strong revenue traction, top-tier investors, and a deeply technical founding team, this is a chance to help build a category-defining company from the inside.
What you’ll be responsible for:
- Designing, building, and deploying production-grade AI algorithms that materially improve output quality in real-world applications
- Owning state-of-the-art evaluation pipelines to benchmark models, guide R&D, and support rapid iteration
- Researching and implementing advanced prompt engineering and LLM interaction techniques
- Working across the stack (primarily Python, but also Postgres and React) to ensure research translates cleanly into customer-facing product
- Moving fast from idea to production, with direct customer feedback loops
The environment:
- High-ownership, low-ego team of AI researchers and elite engineers
- Strong commercial traction with hundreds of enterprise users globally
- Recently closed a major funding round from top-tier investors
- Ambitious, execution-focused culture with very high engineering standards
What we’re looking for:
Must-haves:
- Deep Python expertise and experience shipping AI systems into production
- Hands-on experience with LLMs, prompt engineering, and modern model architectures
- Proven track record building evaluation frameworks or ML pipelines used in live environments
- Comfort working end-to-end across the stack
- Clear communicator who can reason about complex technical trade-offs
- 4+ years experience total
Nice-to-haves:
- Publications at top ML conferences (NeurIPS, ICLR, ICML)
- Experience with LLM evaluation tooling (e.g. OpenAI Evals or similar)
- Strong GitHub presence or technically ambitious side projects
What’s on offer:
- Salary up to £180k + meaningful equity
- Work directly with a highly technical founding team
- Visa sponsorship and private medical insurance
- London-based, high-performance office environment with meals provided
- Opportunity to help shape a product and company with genuine breakout potential
Apply below!
Senior AI Engineer in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at startups. Use LinkedIn or even Twitter to connect and engage with them. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and Python. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so own your experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your deep Python expertise and any hands-on experience with LLMs. We want to see how you've shipped AI systems into production, so don’t hold back on those details!
Be Clear and Concise: When explaining your experience, keep it straightforward. We appreciate clear communication, especially when discussing complex technical trade-offs. Remember, less is often more!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific skills and experiences that match our job description. We love seeing candidates who take the time to connect their background to what we’re looking for.
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 with our fast-growing team!
How to prepare for a job interview at Harnham
✨Know Your Stuff
Make sure you brush up on your Python skills and have a solid understanding of LLMs and prompt engineering. Be ready to discuss your past projects and how you've successfully shipped AI systems into production.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in building evaluation frameworks or ML pipelines. Use examples that highlight your ability to reason through complex technical trade-offs and how you overcame them.
✨Communicate Clearly
Practice explaining your technical work in simple terms. The interviewers will appreciate a clear communicator who can articulate their thought process, especially when discussing advanced concepts related to AI algorithms.
✨Be Ready for Rapid Iteration
Since the company values moving fast from idea to production, think of examples where you've worked in a fast-paced environment. Discuss how you gathered customer feedback and iterated on your work to improve outcomes.
