[Hiring] Software Engineer (Generalist) @Outpost

Role Description

We’re growing and looking for a Software Engineer who can own features end-to-end — across the full stack, from database to UI — and who are excited to build and improve the internal AI tooling that makes our team faster. This is a generalist role with a genuine opportunity to work on agentic systems and AI-assisted workflows, not a niche ML position.

We're a small team competing against much larger ones, and we expect engineers to use AI tools aggressively — LLMs for code generation, debugging, documentation, and ideation. We don't care how much of the code an AI wrote. We care that you ship fast, that you understand everything you ship, and that it works. If you're not already using Cursor, Copilot, Claude, or similar tools as a core part of your workflow, this probably isn't the right fit.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Remote — Latin America preferred.
• This role is a full-time contract position.
• You’ll work closely with our core engineering team — embedded in our sprints, standups, and Slack channels — but employment is managed through the agency.
• We’ve built this model successfully with engineers in Latin America, and it’s been a great fit for both sides.

Company Description

Outpost is building the backbone of freight. We’re reinventing how supply chain infrastructure works in America with carrier agnostic truck terminals. As a vertically integrated real estate, operations, and technology company, we acquire and operate mission-critical real estate across the country to serve the largest logistics providers in the world. Backed by $1B from Greenpoint Partners, we’re scaling and building the most valuable logistics network in the country.

We thrive on accountability, integrity, and a shared drive to raise the bar. If you’re excited to reshape the industry alongside a high-performance team with a championship mindset that executes relentlessly, welcome aboard.