At a Glance
- Tasks: Design and deploy cutting-edge AI systems for Fortune 500 companies.
- Company: Distyl AI, a leader in applied AI technology with a mission-driven culture.
- Benefits: Competitive salary, equity, private medical insurance, and flexible time off.
- Other info: Join a fast-paced environment with ownership of high-impact projects and career growth.
- Why this job: Transform complex workflows and make a real impact with innovative AI solutions.
- Qualifications: 3+ years in software engineering, strong Python or TypeScript skills, and LLM experience.
The predicted salary is between 60000 - 80000 £ per year.
About Distyl AI
Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission‑critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
What We’re Looking For
We’re opening an office in London, UK and looking for AI Engineers to design and deploy production‑grade AI systems powered by LLMs. At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting‑edge AI. You’ll build and ship real‑world AI applications — from intelligent agents to full‑stack AI products — and see them operate at scale in mission‑critical environments. This role is highly hands‑on. You’ll collaborate closely with customers, define system architectures, and build reliable, high‑impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment.
Key Responsibilities
- Build Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full‑stack AI products.
- Work Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutions.
- Lead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainability.
- Develop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deployments.
- Evaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safety.
- Ship Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainability.
- Raise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolve.
Who You Are
- 3+ years of professional software engineering experience.
- Strong proficiency in Python or TypeScript.
- Experience building and deploying LLM‑powered applications or AI agents in production.
- Experience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworks.
- Experience implementing RAG pipelines, tool use, or multi‑step AI workflows.
- Strong understanding of AI system evaluation, debugging, and observability.
- Experience building reliable production systems with modern DevOps practices.
- Experience deploying AI systems in enterprise environments is a plus.
- Experience working across cloud platforms (AWS, GCP, or Azure) is a plus.
- Experience with agent architectures and long‑horizon task execution is a plus.
- Familiarity with responsible AI practices, including auditability and governance is a plus.
What We Offer
- Competitive salary, meaningful equity, and a comprehensive benefits package.
- Workplace Pension Scheme with employer contributions.
- Private Medical Insurance (PMI) offered.
- Flexible Time Off + Holidays.
- Lunch provided on office days.
- Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems.
- Ownership of high‑impact projects across top enterprises.
- A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence.
AI Engineer in London employer: jobr.pro
Distyl AI is an exceptional employer, offering AI Engineers the opportunity to work at the forefront of applied AI technology in a dynamic London office. With a mission-driven culture that values curiosity and excellence, employees benefit from competitive salaries, meaningful equity, and comprehensive benefits, including private medical insurance and flexible time off. The chance to collaborate with Fortune 500 companies on high-impact projects ensures significant professional growth and the ability to shape the future of AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI industry. Attend meetups, webinars, or conferences where you can chat with potential employers and other engineers. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs. Share your work on platforms like GitHub or even your own website. This gives employers a taste of what you can do and sets you apart from the crowd.
✨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. Remember, they want to see how you think and approach complex problems!
✨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, it shows you’re genuinely interested in joining Distyl and being part of our mission-driven culture.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at Distyl. Be genuine and let your personality come through.
Showcase Your Projects:If you've built any AI applications or systems, make sure to showcase them in your application. We love seeing real-world examples of your work, so don’t hold back on sharing your achievements!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at jobr.pro
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and the latest AI tools like LangChain and Guardrails. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Understand Distyl's Mission
Familiarise yourself with Distyl's approach to AI and their key customers. Knowing how your role as an AI Engineer fits into their mission will show that you're genuinely interested and can contribute to their goals.
✨Prepare for Technical Questions
Expect to dive deep into system architecture and production-grade AI systems. Be prepared to explain your thought process when designing scalable architectures and how you ensure reliability and performance in your projects.
✨Showcase Your Collaboration Skills
Since you'll be working closely with enterprise stakeholders, highlight your experience in translating complex problems into AI solutions. Share examples of how you've collaborated with teams to drive successful AI deployments in the past.
