Distyl AI
AI Engineer
San Francisco
Sponsorship not specified$10k-$30kDetected 34 days ago
PythonCode ReviewData AnalysisLLMsA/B TestingSupply ChainResearchCollaboration
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.
- 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.
- AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.
Responsibilities
- Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production
- Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs
- Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications
- Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time
- Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact
- Take accountability for the production outcomes of the components, workflows, and systems you build
- Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness
- You take responsibility for whether the systems you build deliver their intended value in production.
Requirements
- You have built applications powered by LLMs or other AI models and are comfortable composing multiple components - prompts, agents, tools, retrieval, evaluators, workflows, and integrations - into end-to-end systems.
- Comfort in customer environments.
- You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains.
Compensation
- The base salary range for this role is $150K - $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
Benefits
- In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
- 100% covered medical, dental, and vision for employees and dependents
- 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
- You are comfortable making technical decisions, learning from system behavior, and owning the results of your work
Company info
- a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
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This listing is sourced directly from Distyl AI's careers page and normalized into a canonical job model.