At a Glance
- Tasks: Design and deploy cutting-edge AI systems using LLMs for Fortune 500 companies.
- Company: Join Distyl, a forward-thinking tech company opening a new office in London.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with hands-on projects and excellent career advancement potential.
- Why this job: Make a real impact by transforming complex workflows with innovative AI solutions.
- Qualifications: 3+ years in software engineering, strong Python/TypeScript skills, and AI application experience.
The predicted salary is between 80000 - 100000 € per year.
Requirements
- 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 the job involves
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.
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.
Lead AI Engineer in London employer: Deepstreamtech
At Distyl, we pride ourselves on being an exceptional employer, particularly for our Lead AI Engineers in our new London office. Our collaborative work culture fosters innovation and creativity, allowing you to engage directly with Fortune 500 clients while building impactful AI solutions. With a strong emphasis on professional growth, we offer opportunities to shape the future of AI technology, alongside competitive benefits and a commitment to responsible AI practices.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or AI applications. This gives you a chance to demonstrate your expertise and makes you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges, especially around deploying AI systems in production.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented AI Engineers. Plus, it’s a great way to ensure your application gets seen by the right people at Distyl.
We think you need these skills to ace Lead AI Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python or TypeScript, especially if you've built LLM-powered applications. We want to see how your skills align with what we’re looking for!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect the specific requirements in the job description. We love seeing candidates who take the time to connect their experience with our needs.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and experiences shine through without unnecessary fluff.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python or TypeScript, as these are crucial for the role. Brush up on your experience with LLM-powered applications and modern tooling like LangChain or LlamaIndex. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex workflows in previous roles. Think of examples where you’ve collaborated with stakeholders to translate their needs into AI solutions. This will demonstrate your ability to work directly with customers, which is key for this position.
✨Demonstrate Your Architectural Knowledge
Be prepared to discuss system architecture design, especially for production AI systems. Highlight your understanding of balancing performance, reliability, and cost. If you have experience with RAG pipelines or multi-step AI workflows, make sure to bring that up!
✨Emphasise Responsible AI Practices
Familiarity with responsible AI practices is a plus, so don’t shy away from discussing auditability and governance. Share any experiences you have with evaluating AI systems for safety and reliability, as this shows you’re not just about building systems but also ensuring they’re ethical and robust.
