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- Tasks: Design and scale AI agents, focusing on LLM-powered solutions.
- Company: Join Saturn, a fast-growing fintech startup revolutionising financial services with AI.
- Benefits: Enjoy competitive salary, equity, learning budget, and wellness perks.
- Why this job: Be part of a dynamic team making a real impact in financial access.
- Qualifications: Experience in LLM design, NLP fundamentals, and strong Python skills required.
- Other info: Visa sponsorship available for candidates from India or the US.
The predicted salary is between 43200 - 72000 £ per year.
We’re a high-growth B2B fintech startup revolutionising financial services with AI. Imagine Harvey AI for Financial Services – our mission is to democratise financial access for 1 billion people.
About the Role
We’re looking for a hands-on AI Engineer, super passionate about AI engineering, to design and scale AI agents. Join our dynamic, friendly, close-knit team to build impactful LLM-powered solutions at speed.
Responsibilities
- Build and refine LLM-based agents, focusing on retrieval-augmented generation and data retrieval systems
- Develop robust AI evaluation frameworks, metrics, and methodologies
- Demonstrate NLP fundamentals (tokenisation, embeddings, LLM understanding)
- Practise prompt engineering (few-shot, role-based, …), continuously testing and optimising prompts with tools like Weave or Laminar
- Balance constraints (token limits, cost, speed) while maintaining clear, structured outputs
- Apply back-end expertise for data-intensive applications, writing clean, modular Python code and performing quick data processing
What Values We’re Looking For and what you can expect the Saturn team to be:
- Pursue Greatness: Strive for excellence in everything you do, iterating, learning, growing, and embracing discipline to drive progress.
- Earn Trust: Build strong relationships through integrity, transparency, and delivering on your promises.
- Seek Truth: Be data-driven, curious, and unafraid to challenge assumptions in pursuit of the best solutions.
- Be Audacious: Dream big, take ownership, take calculated risks, and push boundaries to create meaningful progress.
- Orbit Together: Collaborate with a shared mission, knowing collective success drives greater outcomes.
Technical Must-Haves
- LLM-based agent design with retrieval-augmented generation
- Proficiency in AI evaluation frameworks, NLP fundamentals (tokenisation, embeddings, LLM architecture), and bias handling
- Prompt engineering with systematic experimentation (tools like Weave or Langsmith)
- Strong Python back-end skills for data-intensive systems and data processing
- Ability to balance token limits, cost, and speed while producing structured outputs
What We Offer
- Competitive salary and meaningful early-stage equity
- Autonomy and ownership in your work
- Budget for learning and professional growth
- Access to world-class gym and wellness
- Bi-annual team retreats
- We can also sponsor a visa if you are from India or US.
About Us
We’re Saturn, the fast-growing B2B startup (top in S24 batch) and are backed by top-tier investors. We’re building a game-changing platform to bring financial peace of mind to billions worldwide.
AI Engineer - London employer: Saturn AI
Contact Detail:
Saturn AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - London
✨Tip Number 1
Familiarise yourself with the latest advancements in LLM-based agent design and retrieval-augmented generation. Being able to discuss recent developments or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Engage with the AI community by attending meetups, webinars, or conferences focused on NLP and AI engineering. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase your practical experience with prompt engineering and tools like Weave or Laminar. Consider creating a portfolio of projects that highlight your ability to optimise prompts and balance constraints effectively.
✨Tip Number 4
Research Saturn's mission and values thoroughly. Be prepared to discuss how your personal values align with theirs, particularly around collaboration and pursuing greatness, as this will show your genuine interest in being part of their team.
We think you need these skills to ace AI Engineer - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI engineering, particularly with LLM-based agents and NLP fundamentals. Use specific examples that demonstrate your skills in prompt engineering and Python programming.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and aligns with the company's mission to democratise financial access. Mention how your values resonate with those of Saturn, such as pursuing greatness and seeking truth.
Showcase Your Projects: If you have worked on any projects related to AI evaluation frameworks or data retrieval systems, include them in your application. Provide links to your GitHub or portfolio to showcase your coding skills and project outcomes.
Prepare for Technical Questions: Anticipate technical questions related to LLM architecture, tokenisation, and prompt engineering. Be ready to discuss your approach to balancing constraints like token limits and cost while maintaining output quality.
How to prepare for a job interview at Saturn AI
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI engineering during the interview. Share specific projects or experiences that highlight your passion and how they align with the company's mission to democratise financial access.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with LLM-based agent design, retrieval-augmented generation, and NLP fundamentals. Bring examples of your work that showcase your proficiency in these areas, especially your ability to balance token limits and speed.
✨Prepare for Prompt Engineering Questions
Expect questions related to prompt engineering and systematic experimentation. Familiarise yourself with tools like Weave or Laminar, and be ready to discuss how you've optimised prompts in past projects.
✨Emphasise Collaboration and Trust
Since the company values collaboration, be sure to share examples of how you've worked effectively in teams. Highlight instances where you've built trust and delivered on promises, as this aligns with their core values.
