Engineering
AI Infrastructure / Product Engineer
RemoteFull-time
We are looking for an AI Infrastructure / Product Engineer to help turn AI research and experiments into reliable, production-ready products at Irys. You will work on AI benchmarking infrastructure, productize research ideas into product features, and build the full-stack and cloud systems that ship them. This is a good fit for someone who wants to work close to AI research while still building real production systems. The work is hands-on, practical, and product-focused. Not demo theater. Real systems, real users, real reliability problems.
Responsibilities
- Build benchmarking systems for our AI models, agents, and workflows
- Set up evaluation pipelines that measure accuracy, reliability, hallucinations, latency, cost, and retrieval quality across repeatable tests
- Build dashboards and reports that track AI system performance over time
- Turn AI research ideas and prototypes into usable product features, including RAG systems, legal document workflows, AI agents, drafting tools, and reasoning pipelines
- Move experiments from notebooks and scripts into stable production systems, and build the internal tools that help the team test, deploy, and improve AI features faster
- Build backend services, APIs, and product-facing features, with frontend support when needed
- Deploy and maintain AI systems on cloud infrastructure, including databases, monitoring, CI/CD, and production reliability
Requirements
- Strong Python skills
- Experience with cloud deployment
- Full-stack experience preferred
- Comfortable working with APIs, databases, backend systems, and deployment pipelines
- Interest in LLMs, RAG, AI agents, evaluation systems, and applied AI products
- Ability to work with ambiguous research ideas and turn them into clean, usable systems
Nice to Have
- Experience with FastAPI, Docker, React/Next.js, Postgres, vector databases, or cloud platforms
- Experience building AI evaluation pipelines or benchmarking systems
- Prior work with legal-tech, document AI, enterprise AI, or workflow automation