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# Software Engineer

- **Company:** AI AI LLC
- **Location:** New York, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Cursor, Python (Programming Language), PostgreSQL, Microsoft Office, Redis, OpenAI, Next.js, Microsoft SharePoint, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Grafana, AI Coding Agents, Backend, Fastapi, Data Layers, AI Platforms, Kubernetes, Terraform
- **Published:** November 11, 2026
- **Apply:** https://startup.jobs/software-engineer-goveagle-10737451

## About the Role

* 3+ years building production software that real customers use; startup experience strongly preferred.
 * Strong Python (FastAPI, async) and comfortable across the stack in TypeScript and React.
 * Hands-on with cloud infrastructure: AWS, Kubernetes, Terraform.
 * You have debugged real production problems and can talk concretely about what broke and how you fixed it.
 * AI-native: Claude Code, Cursor, or similar are part of how you build, and you know where not to trust them.
 * Ownership: you see a gap, propose a fix, and ship it. You like talking to customers.
 * U.S. citizen (required): you will work in FedRAMP and AWS GovCloud environments subject to export controls.
 * Able to work in person in New York City four days a week.

Nice to have: AWS GovCloud or FedRAMP; Microsoft Graph and SharePoint APIs; Temporal; LLM or RAG systems in production., FastAPI and Python, Temporal, DocumentDB and Postgres, SpiceDB, Redis, Next.js and React with TypeScript, Microsoft Office add-ins, Kubernetes, Terraform and Helm, Grafana, AWS GovCloud, and models from Anthropic, Google, and OpenAI.

## Description

We are hiring an engineer to own real parts of that platform end to end: the features customers ask for, the integrations that connect GovEagle to their systems, and the reliability work that keeps it fast. You will work directly with the CTO on a small team that builds with AI every day., * Own customer integrations. Build and harden the connections to SharePoint, Microsoft 365, Salesforce, and SSO that enterprise customers run on.

 * Scale the AI platform. Profile and speed up long-running LLM pipelines, background workflows, and the data layer as usage grows.
 * Make production boring. Take your turn on call, improve observability and alerting, and fix root causes so the same incident never happens twice.
 * Build with AI, carefully. Use AI coding tools to ship fast, review teammates' code, and write short design docs before big changes.