distyl

AI Engineer

Listed by employer · Checked

Older posting · still listed ·

  • hybrid
  • FullTime
  • Engineering
  • London, UK
Work arrangement
hybrid
Employment
FullTime
Stated compensation
Not specified
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

1 with evidence8 unclear or unstated
Remote policy
hybrid
“Provider workplace type: hybrid”
From employer posting metadata
Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

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.
Read full descriptionShow less description
What We’re Looking ForWe’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 ResponsibilitiesBuild 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 Are3+ 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 OfferCompetitive 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 #LI-Hybrid 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.
Original formatting and links
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.

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

#LI-Hybrid

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.

Similar roles

All distyl jobs →

Matched by role category. Review each posting’s requirements before applying.

THE JOB ELIGIBILITY CHECKER

Check a job