Software Engineer (Generalist)

Outpost is building the backbone of freight by reinventing supply chain infrastructure in America. They are seeking a Software Engineer who can own features end-to-end across the full stack and improve internal AI tooling to enhance team efficiency.

Responsibilities:

• Ship complete, production-ready features end-to-end: backend APIs, frontend UI, database schema, and tests
• Build and improve internal AI-powered developer tools — things like automated bug triage, code generation assistants, and agentic workflows that help the team move faster
• Integrate LLM APIs and agentic patterns (tool use, multi-step reasoning, prompt pipelines) into product features and internal systems
• Own and improve CI/CD pipelines, deployment workflows, and developer infrastructure to keep the team shipping safely and quickly
• Participate in code reviews, architecture discussions, and contribute to engineering standards on a small, collaborative team
• Debug and resolve production issues across the stack, including working with GCP services and containerized workloads

Requirements:

• 3–6 years of professional software engineering experience shipping production software
• Strong proficiency in TypeScript/Node.js and/or Python — comfortable on both backend and frontend
• Experience with React and modern frontend frameworks (Next.js preferred)
• Solid understanding of relational databases (PostgreSQL) and API design (REST or GraphQL)
• Practical experience building with LLM APIs — you've shipped something with them, not just experimented
• Working knowledge of Git workflows, Docker, and containerized environments
• Strong communication skills in English — you write clearly and engage well async
• Experience with agentic architectures: tool use, agent loops, multi-step LLM pipelines, or frameworks like LangGraph or CrewAI
• CI/CD experience: GitHub Actions, deployment pipelines, environment management, or infrastructure-as-code
• Familiarity with GCP (Cloud Run, GCS, Pub/Sub, BigQuery) or similar cloud platforms
• Experience with RAG systems, vector search, or embedding pipelines
• Background working alongside ML or data engineering teams
• Prior experience working in a remote, async-first environment with a US-based team