Full Stack Product Engineer
Full-time On-site San Francisco CA
Compensation: $140K $190K Equity (0.25% 2%)
About the Role
Were seeking a Full Stack Product Engineer who thrives in a fast-moving startup environment and wants to help shape the next generation of AI-powered developer this role youll work across the stackfrom database to UIwhile building intelligent product features fine-tuning prompts and creating custom generative AI tools.
If you love staying at the edge of whats possible with LLMs building from first principles and crafting products that make engineers more creative and productive this role is for you.
Tech stack: AWS MongoDB TypeScript React Vercel
What Youll Do
- Build and ship full-stack features across the productfrom backend systems to UI components
- Design and implement intelligent product experiences (prompt engineering custom AI tools model integrations)
- Work directly with users to refine workflows and improve reliability
- Contribute to system prompts general intelligence and denoising capabilities
- Stay on top of the latest in generative AI research tooling and techniquesand put them into practice
What Were Looking For
- 5 years of full-stack engineering experience
- Strong curiosity and demonstrated interest in the AI/LLM space
- Startup experience or experience shipping high-velocity products
- Experience with user-facing product work and feedback loops
- Bonus: built code-gen tools agents or RAG pipelines without frameworks (e.g. LangChain)
Why Youll Love It
- Work directly with founders at the frontier of AI developer tooling
- Ownership over major product and technical decisions
- Competitive salary meaningful equity
- Medical dental and vision insurance fully covered
- Unlimited PTO 401(k) pet insurance travel stipend
- On-site in San Francisco (near Salesforce Tower) 5 days per week
Ready to take the next step
Apply now or email Jenn at to learn more.
Full Stack Product EngineerFull-time On-site San Francisco CACompensation: $140K $190K Equity (0.25% 2%)About the RoleWere seeking a Full Stack Product Engineer who thrives in a fast-moving startup environment and wants to help shape the next generation of AI-powered developer this role youll ...
Full Stack Product Engineer
Full-time On-site San Francisco CA
Compensation: $140K $190K Equity (0.25% 2%)
About the Role
Were seeking a Full Stack Product Engineer who thrives in a fast-moving startup environment and wants to help shape the next generation of AI-powered developer this role youll work across the stackfrom database to UIwhile building intelligent product features fine-tuning prompts and creating custom generative AI tools.
If you love staying at the edge of whats possible with LLMs building from first principles and crafting products that make engineers more creative and productive this role is for you.
Tech stack: AWS MongoDB TypeScript React Vercel
What Youll Do
- Build and ship full-stack features across the productfrom backend systems to UI components
- Design and implement intelligent product experiences (prompt engineering custom AI tools model integrations)
- Work directly with users to refine workflows and improve reliability
- Contribute to system prompts general intelligence and denoising capabilities
- Stay on top of the latest in generative AI research tooling and techniquesand put them into practice
What Were Looking For
- 5 years of full-stack engineering experience
- Strong curiosity and demonstrated interest in the AI/LLM space
- Startup experience or experience shipping high-velocity products
- Experience with user-facing product work and feedback loops
- Bonus: built code-gen tools agents or RAG pipelines without frameworks (e.g. LangChain)
Why Youll Love It
- Work directly with founders at the frontier of AI developer tooling
- Ownership over major product and technical decisions
- Competitive salary meaningful equity
- Medical dental and vision insurance fully covered
- Unlimited PTO 401(k) pet insurance travel stipend
- On-site in San Francisco (near Salesforce Tower) 5 days per week
Ready to take the next step
Apply now or email Jenn at to learn more.
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