Distyl AI Series B
Forward Deployed Engineer
San Francisco, CA Hybrid $150K–$250K Added Jun 22
About the role
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 ARE LOOKING FOR
AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role.
Industry
AI / Enterprise AI Deployment
Top skills for this role
- LLM agent development (tool use
- RAG
- long-horizon tasks)
- 2. Production AI system deployment within customer environments
- 3. Python/TypeScript engineering with LangChain/LlamaIndex/MCP/Agents SDK
Languages
PythonTypeScript
Frameworks & tools
LangChainLlamaIndexGuardrailsMCPAgents SDK
AI / ML skills
LLM agent development (tool useprompt orchestrationRAGlong-horizon task execution)agent design patternsobservability and debugginghuman-in-the-loop feedback systems
Customer skills
Work within customer environments owning outcomes end-to-end; ambiguous problem-space navigation; production AI system reliability and monitoring
Domain knowledge
Enterprise AI deployment (healthcare and general enterprise); complex operational process automation
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