Note: The job is a remote job and is open to candidates in USA. Stott and May is a fast-growing, venture-backed AI company hiring engineers to build systems where AI executes real workflows across infrastructure. The role involves building and operating agent execution systems, designing retrieval and memory architectures, and developing multi-model orchestration systems.
Responsibilities
- Build and operate agent execution systems (task loops, scheduling, control planes)
- Design retrieval and memory architectures for long-term, structured context
- Develop multi-model orchestration systems across providers (latency, cost, reliability)
- Build tool-calling frameworks that safely interact with external and enterprise systems
- Design systems for observability, failure handling, and recovery in production AI systems
- Work on distributed, production-grade infrastructure powering agent workflows
Skills
- Strong backend or distributed systems experience (TypeScript required, Python preferred)
- Experience building LLM-powered systems in production, not prototypes
- Experience with agentic systems, orchestration, or workflow automation
- Strong understanding of reliability, observability, and failure modes in production systems
- Experience with Docker/Kubernetes or production infrastructure
- Experience in DevOps, SecOps, or infrastructure automation
Company Overview