Full Stack Engineer

Ciridae; San Francisco (CA); In loco; USD 130.000 - 190.000; Tempo pieno

Descrizione del lavoro

Ciridae seeks Forward Deployed Engineers to convert compelling prototypes into production systems that customers actually run. This high-agency role spans frontend, backend, data models, integrations, LLM orchestration, testing, deployment and the plumbing that keeps it running.

You will translate field context into technical decisions and make complex AI systems intuitive for nontechnical users. We expect 3+ years of software engineering with ownership of complex systems end-to-end.

Competenze

• Shipped production software across frontend (React/TypeScript) and backend (Python APIs)
• Experience with data models, security, performance, reliability, and maintainability
• Production experience with LLM-powered applications and agents, RAG, tool use, evaluations and observability

Mansioni

• Own the full stack from prototype through launch and iteration
• Translate field context into technical decisions and robust ownership of production systems

Conoscenze

Full-stack

React/TS

Python APIs

LLM integration

Observability

Strumenti

PostgreSQL

APIs

Descrizione del lavoro

You turn a compelling prototype into the production system a customer actually runs on. Full-stack, at a pace that is not normal. This is a high-agency engineering role with unusual variety: every engagement brings a different industry, workflow, and technical problem. Our Forward Deployed Engineers go into the field, learn how the business works, establish the vision, and build the first version. You take that context and make it real: well-architected, reliable software that handles messy data, demanding users, and everything production exposes. While the FDE leads the customer relationship and communicates the vision, most of your time is spent building.

What you own.

The application from validated prototype through launch and iteration: frontend, backend, data models, integrations, LLM orchestration, testing, deployment, and the operational plumbing that keeps it running. You translate field context into technical decisions and make complex AI systems intuitive for nontechnical users. This ownership includes identifying gaps, making architecture decisions, pushing back when solutions will not survive production. What you learn on one engagement becomes a reusable component, pattern, or capability that makes the next deployment faster

What you bring.

Deep full-stack engineering fundamentals. You have shipped production software across React and TypeScript on the frontend and Python, APIs, and Postgres on the backend. You can design clean data models, debug across the stack, and reason clearly about security, performance, reliability, and maintainability. You have production experience with LLM-powered applications and practical opinions about agents, RAG, tool use, evaluations, observability, and designing around non-deterministic behavior. You use AI deeply in your engineering workflow to build, debug, and iterate faster. You pair urgency with a high bar for code quality and production readiness.

Level.

We expect roughly 3+ years of software engineering experience, with demonstrated ownership of complex systems end-to-end. Technical depth and independent execution matter more than an exact number of years.