Senior Full-Stack Engineer
Summary
Govio.ai is hiring a Senior Full-Stack Engineer to build and scale its customer-facing AI platform, owning features end-to-end across a React/Next.js frontend, Python/FastAPI backend, and production LLM systems (RAG, agents, CI/CD, multi-tenant APIs) in a small, remote-friendly NYC team. Pays $90k–$140k plus 2–7% equity.
Compensation: $90k – $140k • 2.0% – 7.0%
We’re hiring a Senior Full-Stack Engineer to help build and scale our AI-platform used directly by customers to solve real operational problems. You’ll work across frontend, backend, and AI systems, owning features from idea to production in a small, fast-moving team. This role is ideal for engineers who enjoy end-to-end ownership, systems thinking, and building production AI applications. **Why this role** * Work directly with company leadership on core product development * Small, high-trust engineering team with fast iteration and minimal process overhead * Opportunity to shape how production AI systems are designed, deployed, and scaled **What you’ll do** * Build end-to-end product features across frontend (React / Next.js) and backend (FastAPI or similar) * Design and operate production LLM systems, including agent workflows and structured prompting * Build retrieval systems powering LLM features (embeddings, RAG architectures) * Own infrastructure components including deployments, CI/CD, containerized services, and production configuration * Design and maintain secure multi-tenant APIs with authentication and authorization * Improve system reliability, observability, and performance as the platform scales **What we’re looking for** * Professional software engineering experience or equivalent experience building production AI systems * Ability to own features end-to-end, from backend APIs through frontend integration * Backend experience in Python (FastAPI or similar) including async I/O and API design * Experience working with relational databases * Ability to write clean, maintainable, well-tested code in a collaborative environment * Clean architecture or domain-driven design patterns * Strong engineering practices (testing, CI quality gates, Git workflows) * Experience with LLM platforms and orchestration frameworks (OpenAI, Anthropic, LangGraph, LangChain or equivalents) * Experience with RAG pipelines, embedding search, and data ingestion workflows * Frontend experience in React / Next.js / TypeScript * Experience operating production infrastructure (deployments, CI/CD, containerized services) **How you work** * Demonstrated technical ownership and decision-making * Bias toward action in ambiguous problem spaces * Strong written communication for documentation and code reviews * Comfortable working in remote, fast-iteration environments