Senior AI Engineer - Sana
Core
Architecting multi-step planning, orchestration, and tool routing for AI agents that access enterprise apps, knowledge, and data to automate work.
Role type
Senior IC AI Engineer (Agent Infrastructure)
Builds
Sana Agents platform enabling AI agents to process and act on information at scale for enterprise teams.
Domain
Enterprise AI / Agentic Systems / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
TypeScript, distributed systems, API design, asynchronous workflows, LLM API internals (OpenAI/Google/Anthropic), agent orchestration, sandboxed code execution, Kubernetes, GCP, Postgres, Redis, vector databases, prompt engineering, evaluation frameworks (Langfuse/LangSmith), security/access control.
Preferred skills
Building LLM-powered applications, machine learning system design, open source contributions, navigating ambiguity.
Technologies
TypeScript, Kubernetes, GCP, Postgres, Redis, Langfuse, LangSmith, Modal, OpenAI, Google LLM APIs, Anthropic LLM APIs
Responsibilities
Architect multi-step planning and tool routing for agents; Implement code generation agents and sandboxed execution; Engineer memory, state, and context strategies; Balance latency, quality, and cost; Develop safe fallbacks and error handling; Collaborate on reusable agent infrastructure; Establish safety guarantees and quality metrics.
Seniority
Senior, hands-on IC
