Full Stack Product Engineer at raylu.ai (New York, NY)
raylu.ai· New York, NY·
Role details
Work type
Onsite
Employment
Full-Time
Job description
Position Summary
Join us as a Full-Stack Product Engineer to design, build, and iterate on ambitious product surfaces end-to-end. You’ll work across React/Next and Node/TypeScript, contributing to features from rough idea to shipped outcome—with support from the team.
What we’re looking for
- Strong full-stack foundation: TypeScript across the stack; React/Next on the front, Node on the back.
- Product-minded: You prioritize user value, care about UX details, and help design APIs that keep the UI simple.
- Good engineering judgment: You can move quickly while keeping an eye on reliability and making smart now-vs-scale tradeoffs.
- Ownership: You can take features from requirements to implementation, launch, and iteration - collaborating closely with teammates.
- Bonus: Familiarity with LLM integrations and cloud deployment.
- Opinionated: You’re thoughtful about the tech landscape and make design decisions based on clear reasoning—comfortable learning new patterns when needed.
Responsibilities
- Move rapidly from customer pain point to shipped feature
- Build and ship across frontend, backend, and infrastructure; prototype quickly then harden
- Improve developer ergonomics, code quality, and observability
- Contribute to the roadmap and help shape product direction with data and user feedback Logistics:
- Compensation: $150K - $200K salary, $50–100K equivalent in new hire equity (4 year vest)
- Location: New York City. We are a fully in-office team working out of Midtown Manhattan Monday through Friday. We allow for WFH days when anyone is traveling, but we do not allow for permanent remote work. Benefits:
- - Generous health, dental, and vision insurance
- 401k with 3% automatic contribution (no vesting)
- Paid Lunches
- Wellness and Citi Bike benefit
Why work at raylu.ai
- Culture & Mission: The founders (Harvard grads with backgrounds in AI investing and AWS engineering) are building a team in Midtown Manhattan, the global center of finance. The mission is to fundamentally change how the world’s top investors operate.
- Cutting-Edge Tech: The company was launched at a "turning point in AI" with GPT-3 and focuses on building bespoke, sophisticated LLM technology. Engineers work on challenging problems in NLP, data aggregation, and search.
- Work Environment: Based in Midtown Manhattan. The company describes its headquarters as a hub for its talented team and a demonstration of its commitment to innovation.
- Team Size: Currently small (1-10 employees per Crunchbase), offering early-stage impact and ownership. crunchbase.com