Job description
Product Engineer – AI Reliability Platform – NYC (On-Site)
A cutting-edge AI startup is hiring a Product Engineer to help develop a next-generation reliability platform for AI applications. This role offers the opportunity to shape core infrastructure, cloud tooling, and user experiences for building safer, more reliable large language model (LLM) systems.
Key Responsibilities:
- Build infrastructure and intuitive tools that enable AI developers to test, monitor, and optimize LLM applications.
- Collaborate directly with customers to adapt core technologies for diverse domains.
- Deliver scalable solutions for observability, anomaly detection, and automated optimization.
- Contribute to new frameworks, algorithms, and primitives that redefine AI reliability testing.
Ideal Candidate:
- Full-stack expertise—experience as a founding engineer, ex-founder, or developer with a high-agency mindset.
- Track record of impactful projects, open-source contributions, or high-quality software engineering.
- Experience applying machine learning techniques in production settings.
- Ability to ramp up quickly and collaborate closely with a highly technical, research-driven team.
- Customer-focused approach with a drive to deliver practical, high-impact tools.
Why Join?
- Competitive compensation ($180K–$600K) with equity and benefits.
- Work directly with customers and top AI companies like OpenAI and Anthropic.
- Solve one of AI’s hardest problems—building tools for safe, scalable, and production-ready LLM applications.
- Join a collaborative, in-person team in NYC focused on learning, growth, and engineering excellence.
Ready to Build the Future of AI? Apply now to be part of a high-talent team pushing the boundaries of AI reliability and performance!
