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Distyl AI

Builds AI systems for enterprise operations

AI Engineer Lead

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of engineering experience, including experience as a tech lead or engineering lead on customer-facing or production AI projects.
  • Take ownership of AI systems and whether they deliver intended value in production; make independent technical decisions across system design, evaluation, integration, and iteration.
  • Have experience with cloud systems, system integrations, API design, and data engineering, and understand how AI systems fit into broader enterprise ecosystems.
  • Use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work; stay curious about new model capabilities and techniques and incorporate them into system development.
  • Be willing to travel, typically 10–30% depending on the project, customer needs, and role on the engagement.

Responsibilities

  • Lead and mentor a team of AI Engineers, owning technical direction, code quality, execution standards, and individual growth.
  • Design and implement AI systems combining models, agents, retrieval, evaluation, and execution into coherent, production-ready systems aligned with business outcomes.
  • Work directly with customer stakeholders, often in high-visibility settings, and communicate system behavior, tradeoffs, limitations, and paths to improvement.
  • Operate and improve live AI systems by measuring behavior, identifying failure modes, debugging issues, and rapidly iterating on quality, reliability, and usefulness.
  • Integrate AI systems into customer data platforms, APIs, and existing applications; make pragmatic system design decisions balancing speed, robustness, maintainability, and long-term operability.
  • Take accountability for production outcomes and adapt systems as requirements evolve.

About the Company

Distyl AI

Builds AI systems for enterprise operations

Distyl AI builds AI systems for large enterprises that need to automate complex business operations rather than isolated tasks. Its Distillery platform brings the tools for creating and running those systems together, while engineers and researchers work alongside customers to define the problem and put solutions into use. The company combines purpose-built software with implementation engagements across telecom, healthcare, insurance, manufacturing and retail, covering work such as customer service and supply chain decisions. Customers buy tailored enterprise deployments that connect business expertise with AI tools and are measured against operational outcomes. Founded in 2022, Distyl AI is headquartered in San Francisco, California.

Company size
51-200
Company stage
Late Stage VC
Total funding
$202M
Headquarters
San Francisco, CA
Founded
2022

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