Fullstack Software Engineer

About the Role

This is an AI-native fullstack engineering role building human data platforms. The role sits between traditional fullstack and research engineering, with coding agents as the primary development workflow.

Key Responsibilities

• Design and ship fullstack features across backend APIs, data pipelines, and React frontends.
• Own client-facing data delivery and platform infrastructure, including exports, access control, and reliability.
• Scope work around outcomes, direct coding agents, review changes at the architecture level, and iterate until shipped.
• Build and maintain services in Python (FastAPI) and TypeScript.
• Contribute to data modeling, schema design, and query performance across relational and document databases.
• Partner with research engineering, operations, and product to translate platform needs into production-ready systems.
• Improve the frameworks, checks, and evals that make agent-driven development faster without sacrificing quality.
• Troubleshoot production issues and build resilient, observable systems.

Requirements & Tech Stack

• Strong fundamentals in Python and TypeScript, with experience building CRUD applications using frameworks such as FastAPI/Flask and React.
• Working knowledge of databases such as PostgreSQL, MongoDB, or SQLite and core data modeling principles.
• Experience deploying services on a major cloud platform (GCP, AWS, or Azure).
• Coding agents such as Claude Code, Cursor, or Codex are your default development workflow, and you can clearly explain how you use them.
• Ability to turn outcomes into plans, direct agents, verify results, and identify architectural issues agents may miss.
• Understanding of agent loops, MCP, tool/data integrations, permissions, and security.
• Familiarity with context management, RAG, and evals for testing agent workflows.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience.
• 0–5 years of software engineering experience, or strong shipped projects as a recent graduate.

Preferred

• Exposure to RL concepts or environments, including tasks, actions, and rewards.
• Experience with coding data pipelines or task-authoring platforms.
• Familiarity with CI/CD, deployment pipelines, and DevOps fundamentals.
• Experience contributing to team projects, open-source software, or startups.