Founding Engineer

Founding Engineer — AI Startup (San Francisco, In-Office)

An early-stage, venture-backed AI startup in San Francisco is hiring its first Founding Engineer
. This is a ground-floor opportunity to shape the technical direction, build core systems from scratch, and influence product, culture, and engineering best practices. If you thrive in high-ownership environments and want to help define the future of an emerging AI product, this role offers significant impact and autonomy.

• Architect, build, and deploy end-to-end features across the stack—from backend services to intuitive user interfaces.

• Design scalable, high-performance APIs and microservices to support AI-driven workloads.

• Implement and maintain frontend applications with clean, responsive, and component-driven UI architecture.

• Collaborate closely with founders on product direction, technical strategy, and roadmap prioritization.

• Integrate and optimize AI/ML models into production systems (LLMs, embeddings, inference pipelines, etc.).

• Establish early engineering best practices around code quality, testing, CI/CD, observability, and security.

• Own the full lifecycle of features from concept ? architecture ? implementation ? deployment ? iteration.

• Help recruit and mentor the early technical team as the company grows.

• Work in a fast-paced, experimental environment where speed, ownership, and adaptability matter.

• Frontend: Type Script, React, Next.js, Tailwind, Vite

• Backend: Node.js / Type Script, Python, Go (optional), Postgres, Redis, Graph
  
  QL or REST

• AI / ML: Experience with LLM APIs, model fine-tuning, vector databases (Pinecone, Weaviate, pgvector), embeddings, inference optimization

• Infrastructure: AWS or GCP, Docker, Kubernetes (nice to have), Terraform, serverless architectures

• Tools & Systems: Git Hub Actions, CI/CD pipelines, monitoring/observability tools (Datadog, Open Telemetry, Sentry)

• Have 4–10+ years of full-stack engineering experience

• Have experience (or strong interest) working with AI/LLM-powered products

• Are excited by ambiguity and comfortable owning 0?1 technical decisions

• Enjoy rapid iteration and hands‑on prototyping

• Value craftsmanship but know when to optimize for speed vs. long-term maintainability

• Want meaningful equity and the opportunity to shape product and culture from day one

• Are able and excited to work fully on‑site in San Francisco