Note: The job is a remote job and is open to candidates in USA. People In AI is recruiting for an unnamed early-stage applied AI company building infrastructure and agent systems for enterprise knowledge work. The Software Engineer, AI Agents will build production AI agents, take customer problems through deployment, and contribute to the company’s core platform.
Responsibilities
- Build and own production AI agents used in real enterprise workflows
- Take customer problems from initial scope through architecture, implementation, deployment, and iteration
- Integrate agents with enterprise systems, APIs, operational data, and existing workflows
- Work with fragmented and overlapping data sources to create usable business context
- Design reliable backend systems supporting production agent execution
- Diagnose agent failures, reliability issues, and unexpected production behaviour
Skills
- Meaningful experience personally building production AI agents inside a company
- Clear end-to-end ownership of systems that reached real users or business workflows
- Strong backend software engineering fundamentals
- Experience working with LLMs, agents, orchestration, tools, APIs, or AI-driven workflows
- Ability to discuss architecture decisions, failure modes, debugging, reliability, and production tradeoffs in depth
- Comfort working across backend engineering, AI, data, infrastructure, and product
Benefits
- Equity
- Remote, USA
- Take significantly more technical and customer ownership than you would in a traditional engineering role
- Work directly with founders on hard AI and enterprise infrastructure problems
- Build systems that solve measurable business problems rather than isolated demos or proofs of concept
- Contribute to both customer-facing AI deployments and the underlying platform powering them
- Gain unusually broad exposure across technology, customers, product, and commercial decision-making
Company Overview