Senior Fullstack Engineer - United States

Responsibilities

• Design and build scalable fullstack systems for enterprise and government customers.
• Work across the stack, from designing APIs and orchestrating LLM agent workflows, to structuring robust data models that ensure a seamless connection to the user interface.
• Own end-to-end feature development—from early design and implementation through deployment, monitoring, and iteration.
• Collaborate closely with cross-functional partners to understand requirements, refine technical scope, and drive successful, reliable feature delivery.
• Collaborate closely with researchers and engineering teams to integrate reliability, evaluation, and guardrails into production systems.
• Take ownership of ambiguous problems and drive them to practical, high-quality solutions.

Requirements

• 5+ years of experience writing maintainable, production-quality code
• Full-stack fluency — You’re productive across frontend (TS/React/Next.js) and backend (Python/Node.js/PGSQL), and can lead work across the stack without heavy dependency on others.
• Strong product sense — You think about why a feature exists, not just how to build it. You ask good questions, push back when needed, and make thoughtful product and engineering tradeoffs in service of the user experience.
• Shipper — Can operate with high agency, owning problems end-to-end with minimal supervision.
• Enjoy working in fast-moving, cross-functional teams with engineers, product managers, designers, and researchers.
• Quality bar — You think about edge cases, loading states, error handling, responsiveness, and interaction design. You ship features that feel complete and hold a high standard for polish.
• Scrappy & Scaled — You have the startup experience to build from zero with a nimble team, plus the big-tech exposure to know what breaks when a product hits massive scale
• Clear communication — Excellent skills in communicating technical trade-offs across the stack with clarity and precision to both frontend and backend partners.
• Ai-fluent — You use AI coding tools daily and know how to wield them effectively as a multiplier deeply into your development workflow.
• Extensive backend experience with end-to-end ownership of Python-based services in production, not just contributing to one.
• Experience building and maintaining ReAct-style agent loops/LangGraph equivalents.
• Understanding of RAG and MCP systems, client/server tool negotiation and schema versioning.
• Experience with cloud infrastructure (AWS, including S3, ECR, Docker, EB; IAC is a plus).
• Some experience with geospatial fundamentals such as GeoJSON, polygons, H3 spatial indexing, map libraries (Mapbox/Leaflet), and GDAL is beneficial.

Qualifications

Geolava is an equal opportunity employer and has a global remote workforce. Applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation.