AI Engineer in London

AI Engineer in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Distyl AI

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, flexible time off, and private medical insurance.
  • Other info: Join a diverse team and work on high-impact projects with state-of-the-art AI tools.
  • Why this job: Transform complex workflows and build impactful AI applications that operate at scale.
  • Qualifications: 3+ years in software engineering, strong Python or TypeScript skills, and AI application experience.

The predicted salary is between 70000 - 90000 £ 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.

We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

AI Engineer in London employer: Distyl AI

Distyl AI is an exceptional employer, offering AI Engineers the opportunity to work at the forefront of applied AI technology in a vibrant London office. With a competitive salary, meaningful equity, and a comprehensive benefits package, employees enjoy a culture that values curiosity and excellence while collaborating with Fortune 500 companies on impactful projects. The company fosters professional growth through hands-on experience with cutting-edge AI tools and a commitment to diversity and inclusion.

Distyl AI

Contact Details:

Distyl AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer in London

Tip Number 1

Network like a pro! Reach out to folks in the AI field on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects, especially those using LLMs. This gives potential 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 common AI engineering questions and real-world problem-solving scenarios. Practice makes perfect, so consider mock interviews with friends or mentors.

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 AI Engineer in London

Python
TypeScript
LLM-powered applications
Prompt Engineering
Agent Workflows
System Architecture Design
AI System Evaluation

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for 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!

Showcase Your Projects:Include specific examples of AI systems you've built or deployed. If you've worked with Python or TypeScript, let us know! We love seeing real-world applications of your work, so don't hold back.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Distyl AI

Know Your AI Stuff

Make sure you brush up on your knowledge of AI systems, especially LLMs. Be ready to discuss your experience with building and deploying AI applications, as well as any specific tools you've used like LangChain or Guardrails. This will show that you're not just familiar with the theory but have practical experience too.

Understand Distyl's Mission

Take some time to research Distyl AI and its mission. Understand how they partner with Fortune 500 companies and the impact of their technologies. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the role and the company.

Prepare for Technical Questions

Expect technical questions that assess your problem-solving skills and understanding of system architecture. Practice explaining your thought process when designing scalable AI systems and be ready to tackle hypothetical scenarios related to AI deployment in enterprise environments.

Showcase Your Collaboration Skills

Since the role involves working closely with customers, be prepared to discuss your experience in collaborative settings. Share examples of how you've partnered with stakeholders to solve complex problems and how you’ve contributed to team success in previous projects.