Senior Full-Stack Engineer (Backend-Leaning) (+ Equity) at AI-native productivity startup

This is a role that TechTree is recruiting for on behalf of one of our clients.

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About the Role

As a Senior Full-Stack Engineer (backend-leaning), you will own end-to-end development of features from conception through architecture, implementation, shipping, and iteration. You will handle backend-heavy work with some infrastructure and DevOps responsibilities, implement frontend functionality when needed, and work directly with users to translate feedback into improvements. The role also involves building AI-enabled systems, including agentic workflows and model interaction pipelines, in production environments.

What You'll Be Doing

• Own features from conception through architecture, implementation, shipping, and iteration with no handoffs
• Handle backend-heavy development, infrastructure, and DevOps responsibilities
• Engage directly with users to gather feedback, run experiments, and ship improvements
• Build AI systems on top of models, including agent loops, workflow orchestration, and reliable production pipelines
• Collaborate with other engineers to ensure robust, scalable, and maintainable systems
• Contribute to architecture and technical design decisions across the stack

What We're Looking For

• Senior full-stack experience, backend-leaning, with strong production ownership
• Deep systems design skills; able to plan for scale, reliability, and maintainability
• Comfortable owning infrastructure and DevOps responsibilities
• Experience building AI-enabled products, understanding agentic workflows and model interaction patterns
• High agency; able to operate independently in fast-moving, ambiguous environments

Nice to Have

• Experience working with multiple AI model integrations in production
• Familiarity with TypeScript, React, Next.js, Node.js, PostgreSQL, Cloudflare, and AWS

Compensation & Benefits

• Salary: $200,000–$240,000 salary, plus meaningful equity
• Location: Fully on-site in San Francisco, with relocation support if needed
• Culture: High ownership culture and end-to-end product impact
• Onboarding: Structured onboarding and mentorship from experienced team members
• Tools: Access to modern development tools and infrastructure

About the Company

Our client is a 12–14 person AI-native team building a personal AI assistant for knowledge workers — closer to “Cursor for knowledge work” than a chatbot.

Raised $30M in seed funding from Spark Capital, Felicis, and Y Combinator.

The team includes former founders, CTOs, and high-agency engineers, all operating with full ownership and end-to-end responsibility.

The company is preparing for a major public launch and operates at the intersection of AI and productivity.

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