Senior AI Engineer

Job Summary

An AI-powered platform that helps businesses automate sales, customer support, and operations using intelligent AI agents.

Responsibilities

• Design and build the agent runtime and orchestration engine from scratch.
• Own agent loops, tool execution, context management, and state handling.
• Build durable execution systems that remain reliable under retries, failures, and partial outages.
• Design scalable multi-tenant infrastructure capable of supporting thousands of tenants.
• Build governance and product surfaces using Next.js / TypeScript.
• Integrate directly with model providers and build reliable streaming, routing, and fallback mechanisms.
• Establish systems for agent evaluation, tracing, guardrails, and observability.
• Design secure agent execution with appropriate tool permissions and sandboxing.
• Own systems end-to-end, from architecture and implementation through production operations.
• Join an early-stage team building an AI operator that executes real business workflows end-to-end across Sales, Marketing, HR, and Legal.
• You ll build the core agent infrastructure from first principles-without relying on frameworks like LangChain-and own critical systems spanning agent orchestration, multi-tenant SaaS, workflow execution, and governance.
• This is a hands-on full-stack engineering role for someone who enjoys solving hard problems around agent reliability, distributed systems, concurrency, and failure handling.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.