Founding AI Engineer

We are looking for a Founding AI Engineer to architect and build production-grade autonomous AI agents capable of executing complex, multi-step real-world tasks. You will own the end-to-end agentic AI infrastructure—from LLM orchestration and browser automation to memory, workflow reliability, evaluation, and production deployment.

Responsibilities:

• Agentic AI: Build production-grade LLM agents with multi-step tool calling, MCP servers, structured outputs, and context management.
• Browser Automation: Develop computer-use agents using Playwright/CDP to execute tasks across third-party websites, logins, and dynamic workflows.
• Workflow Orchestration: Design persistent memory, asynchronous task execution, scheduling, retries, and failure recovery.
• Reliability and Evaluation: Implement outcome verification, agent tracing, trajectory logging, LLM-as-judge, and regression testing.
• Backend and Infrastructure: Build scalable Python services and deploy distributed agent systems on AWS.

Requirements:

• Agentic AI: Production-grade LLM agents, orchestration, multi-step tool calling, and MCP.
• Browser Automation: Playwright, CDP, computer-use agents.
• Backend Engineering: Python, asyncio, FastAPI/Django.
• Agent Architecture: Context management, persistent memory, asynchronous workflows, failure recovery.
• Evaluation and Observability: Langfuse, OpenTelemetry, LLM-as-judge, trajectory logging.
• Cloud and DevOps: AWS (ECS, SQS, Celery, CloudWatch), scalable infrastructure, CI/CD.

Ideal Candidate:

• Proven experience building and deploying production-grade AI agents, beyond basic chatbots or RAG applications.
• Hands-on experience with browser/computer-use automation and complex agent workflows.
• Strong Python backend engineering and AWS deployment experience.
• Experience with agent evaluation, observability, and reliability engineering.
• Independent problem-solver comfortable owning architecture and execution in a fast-paced startup.