AI Engineer

Distyl
London
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Communication","Collaboration","Problem-solving"]

Design, develop, and deploy production-grade AI systems powered by LLMs for enterprise clients, collaborating with customers to define architectures, build scalable, observable and secure AI workflows, and contribute to an internal LLM platform while continuously raising engineering standards.

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FursaFursa
Distyl
Distyl
4 months ago

AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 47 minutes agoStatus: Live

Job Summary

Design, develop, and deploy production-grade AI systems powered by LLMs for enterprise clients, collaborating with customers to define architectures, build scalable, observable and secure AI workflows, and contribute to an internal LLM platform while continuously raising engineering standards.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

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

Pay and Benefits

Perks:Health InsuranceDentalVisionEquityMeal AllowanceHoliday Allowance

Key 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.
Experience:3+ yearsArtificial intelligenceEnterprise software
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:PythonTypeScriptLangChainLlamaIndexGuardrailsMCPRAGAWSGCPAzure

Company Brief

Distyl
Builds enterprise-grade AI systems and integration services (Distillery) to help Fortune 500 companies become AI-native, delivering measurable operational impact across healthcare, telecom, manufacturing, and finance.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2022
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