distyl - Lead AI Engineer
Requirements
• 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. • 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
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
Benefits
• Competitive salary, meaningful equity, and a comprehensive benefits package • Private medical, dental, and vision cover for you and your family • Generous holiday allowance • 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
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