Full Stack Engineer

Ciridae; New York (NY); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

Ciridae seeks a Forward Deployed Engineer to turn prototypes into customer production systems. You own frontend, backend, data models, integrations, LLM orchestration, testing, and deployment, delivering reliable software across diverse engagements.

You will translate field context into technical decisions, shape architecture, and push for production-ready solutions. Expect end-to-end ownership and iterative learning to accelerate future deployments.

Competenze

• Shipped production software using React/TypeScript frontend and Python backend.
• Experience designing clean data models and secure, reliable systems.
• Production experience with LLM-powered applications and agent/RAG concepts.

Mansioni

• Own the application from prototype through launch and iteration.
• Translate field context into technical decisions for scalable systems.
• Lead architecture decisions and ensure production readiness across stack.

Conoscenze

React

TypeScript

Python

APIs

Postgres

Data modeling

LLM-powered apps

Observability

Security

Production readiness

End-to-end ownership

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.