Staff Product Engineer
New
J
JobgetherGenerative AI
Based in United StatesFull-TimeStaff
SalaryBase salary of $240,000–$290,000 USD
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSNode.jsFull Stack DevelopmentJavascriptTypeScriptReactRESTful APIsLLMGenerative AI
Requirements
- 5+ years of professional software engineering experience, ideally with a strong full-stack focus.
- Strong proficiency in one or more programming languages, including JavaScript or TypeScript.
- Demonstrated experience building products and features using third-party Artificial Intelligence (AI) APIs, such as chatbots or large language model integrations.
- Experience designing and architecting production-ready software systems.
- Familiarity with debugging, profiling, performance optimization, and reliability practices.
- Ability to rapidly prototype, experiment, and iterate on solutions while working against tight product timelines.
- Strong product orientation and curiosity, with the ability to work across different areas of the technology stack.
- Thoughtful and pragmatic problem-solving approach, with a willingness to take ownership of complex and ambiguous challenges.
Responsibilities
- Build rich multimedia interfaces that leverage the latest AI video generation capabilities.
- Develop end-to-end, full-stack product features, including frontend experiences, backend systems, server-side processes, and application programming interfaces (APIs).
- Design and implement large language model (LLM)-powered features, conversational interfaces, and AI-driven product experiences.
- Work across the frontend stack to deliver product capabilities for machine learning-based generative AI tools.
- Collaborate closely with engineers and cross-functional partners to solve complex product and technical challenges.
- Rapidly prototype new ideas, evaluate solutions, and iterate quickly in response to product requirements and deadlines.
- Improve the performance, reliability, scalability, and code quality of production codebases.
- Contribute to technical architecture and engineering decisions for AI-powered creative and collaboration experiences.
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