AI Product Engineer at Distyl in New York, NY

Summary: Distyl AI develops production-grade AI systems to power core operational workflows for Fortune 500 companies. As an AI Product Engineer, you will build user-facing applications and workflows that enhance human interaction with AI systems, partnering closely with various teams to translate business objectives into effective product experiences. Responsibilities: - Own the design and implementation of user-facing applications that sit directly on top of AI systems - Build interfaces and workflows for knowledge capture, system configuration, evaluation, and feedback, ensuring that user interactions are tightly coupled to underlying models, data, and evaluation pipelines - Accountable for whether human interactions with AI systems produce high-quality signal that measurably improves system behavior over time - Partner with AI Strategists to understand customer goals, domain constraints, and success metrics, and to turn those inputs into executable product designs - Help shape how domain knowledge and business intent are encoded into workflows, schemas, and interfaces that AI systems can reliably learn from - Work across the full stack—front end, back end, and data—to deliver cohesive product experiences. This includes designing APIs and data models, building services that connect user actions to system behavior, and ensuring that captured feedback can be queried, analyzed, and acted on effectively - Study how humans and AI systems interact in real workflows, identifying where interfaces clarify intent, where they introduce noise, and how design choices affect system performance and trust - Iterate quickly in production, using real user behavior and system outcomes to refine both the product experience and the AI systems it supports - Ownership of shipped product experiences and adapt them as customer needs, business objectives, and AI capabilities evolve Required Qualifications: - 1+ years of experience of software engineering experience - Strong Full-Stack Engineering Skills: Comfortable building across front end (TypeScript/React), back end (Python), and data layers. You can move quickly from prototype to production, and you understand how to design systems that are reliable, maintainable, and easy to evolve - Experience Building Products on Top of AI Systems: Shipped user-facing applications that integrate with LLMs or other AI services. You understand how interface design, data modeling, and workflow structure influence AI behavior, evaluation quality, and system improvement over time - Comfort Operating at the Product–Engineering Boundary: Enjoy working with AI Strategists and domain experts to translate ambiguous business goals into concrete, buildable product workflows. You can reason about tradeoffs between user experience, system constraints, and delivery timelines without needing a separate product manager in the loop - Systems Thinking Across Human and AI Boundaries: Reason clearly about how user actions become structured signal for AI systems. You care about how feedback is captured, how knowledge is represented, and how product decisions affect downstream system performance and trust - AI-Native Working Style: Use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You actively experiment with new capabilities and incorporate them into how you build and iterate on products - Travel: Ability to travel 10-20% Required Skills: Full-Stack Engineering, AI Systems Integration, Product-Engineering Collaboration Important Skills: TypeScript, React, Python Nice-to-Have Skills: Systems Thinking, AI-Native Working Style Benefits: 100% covered medical, dental, and vision for employees and dependents, 401(k) with additional perks (e.g., commuter benefits, in‑office lunch), 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