Lead AI Engineer, Enterprise AI Operations

Tech Stack

Responsibilities

• Serve as the primary AI engineering partner to the CEO and executive leadership team, translating ideas and strategic questions into production-ready AI agents and workflows.
• Independently take ideas from concept to production, shaping problem statements, designing system architecture, implementing code, validating outputs, and operationalizing solutions.
• Design and implement complex, multi-step agentic workflows, including multi-agent orchestration, retrieval-augmented generation (RAG), tool use, memory strategies, evaluation frameworks, and cross-system automation.
• Develop production-grade AI systems using modern LLMs, orchestration frameworks, and internal tooling, with strong attention to scalability, performance, observability, and clean engineering practices.
• Operationalize AI responsibly by implementing guardrails, structured evaluations, monitoring, and validation layers to ensure predictable behavior, reliability, and compliance.

Soft Skills

Benefits

• 401k
• Dental
• Equity
• Flexible PTO
• Health Insurance
• Mental Health
• Parental Leave
• Remote Stipend
• Sabbatical
• Vision

Culture

Requirements