Senior AI Product Engineer, Fullstack
New
Based in United StatesFull-TimeSenior
Salary$125,000 – $225,000
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonMachine LearningTypeScriptReactRESTful APIsData visualizationSaaSDistributed Systems
Requirements
- 5+ years of frontend or fullstack engineering experience, with strong expertise in React and TypeScript for building user-facing applications.
- Proven experience designing and operating scalable SaaS systems or complex distributed applications in production environments.
- Strong understanding of APIs, system design, and backend integration, with exposure to Python and/or other backend technologies (Go a plus).
- Demonstrated ability to debug and reason through complex technical systems in collaborative engineering environments.
- Strong product mindset with a focus on user experience, performance, and delivering end-to-end features.
- Genuine interest in AI, LLMs, and modern machine learning systems, with a desire to stay current in the evolving ecosystem.
- Excellent collaboration and communication skills, with the ability to work effectively across engineering, product, and design teams.
Responsibilities
- Design, build, and maintain scalable fullstack features across the platform, primarily using TypeScript, React, and Python, with exposure to distributed systems and backend services.
- Develop and optimize APIs, data models, and domain-specific workflows supporting machine learning and LLM observability use cases.
- Build reusable, high-performance frontend components and data visualization interfaces that enhance user experience and system interpretability.
- Participate in architectural decisions across frontend, backend, and data layers in collaboration with product, design, and engineering teams.
- Contribute to the development of AI-driven features, including in-house agents and experimental ML/LLM tooling.
- Research and implement advanced visualization techniques and scalable approaches for handling large-scale AI evaluation data.
- Engage in code reviews, technical documentation, and cross-functional collaboration to ensure quality and alignment across the stack.
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