About this opportunity
PulseRise Technologies lists this Senior Full Stack Engineer (Back-End)_TT opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We're looking for a Senior Full Stack Engineer with a strong backend focus to build and scale the core infrastructure of a fast-growing AI platform. You'll work directly with the CTO on backend systems, agent runtimes, and real-time infrastructure as the company brings on its first paying users. The work centers on TypeScript at the edge: Cloudflare Workers, Durable Objects, and Postgres, with SSE streaming, task queues, and routing across multiple LLM providers. You'll be comfortable across the stack, but your instinct is to go deeper on the backend and take ownership of reliability and operational excellence. The team is small, direct, and high-energy, and engineers are trusted to own big problems end-to-end. It's a great fit for a senior engineer with startup DNA who has shipped production infrastructure that real users depend on.
Details
Schedule: Full time
Location: San Francisco, United States (Onsite, 5 days a week; relocation before start is possible)
Start: ASAP
Duration: Long-term
English: Fluent
Type of collaboration: Internal Employment
About the project
The company is a well-funded, seed-stage AI startup that has raised $30M to build a hybrid AI and software platform. The product acts as a shared brain for user context, bringing together information and actions so AI agents can do useful work for people. The team is about 15 people and growing, and many of them are former founders or CTOs. It is now onboarding its first paying users, so scaling the backend reliably is a top priority. The architecture combines Cloudflare Workers and Fly.io, with modern practices like blue-green rollouts and canary releases. This is a chance to shape the core infrastructure of an ambitious AI product at a very early stage.
You have
5+ years of experience building and operating backend systems in production, including on-call responsibility
Fluent TypeScript and comfort across the stack, with a clear preference for going deep on the backend
Experience building real-time systems in production, such as WebSockets, SSE, event streaming, or message queues
Strong distributed systems intuition, including a solid understanding of consistency tradeoffs
Infrastructure you've shipped to real external users, not only internal tooling
A working understanding of LLM agent loops and model interaction patterns (ML engineering depth is not required)
Based in the San Francisco Bay Area or willing to relocate before starting; US work authorization (O-1 or J-1 sponsorship possible for exceptional candidates)
A direct, proactive communication style suited to a small, in-person team
Openness to a paid in-person work trial on a real project, from a few days to two weeks
Nice to have: experience with Cloudflare Workers, Durable Objects, Fly.io, or other edge/serverless compute
Nice to have: experience building agent systems, model routing layers, or LLM tool-use architectures
Nice to have: background as a founder, CTO, or early engineer, ideally at an AI or agentic company
Nice to have: hands‑on AI side projects or active experimentation with AI tools
Familiarity with parts of the stack is a plus: Hono, Drizzle ORM, Postgres, Zod, SST, Vercel AI SDK, Docker, React, Vite
What to do
Work directly with the CTO to design, build, and scale the core backend infrastructure
Build and operate agent runtimes, including SSE streaming, task queues, and multi-model LLM provider routing
Design distributed systems on Cloudflare Workers, Durable Objects, and Postgres, making clear tradeoffs around consistency and performance
Own deployments across Cloudflare Workers and Fly.io, using blue-green rollouts and canary patterns
Set a high bar for reliability, monitoring, and incident response as the platform onboards its first paying users
Contribute across the stack, including React frontend work when needed
Take ownership of complex technical problems end-to-end, from design through production
Help shape engineering practices and culture as the team grows
#J-18808-Ljbffr
Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.