AI Technical Lead (Principal Engineer)

📋 Description

• Own the architecture: decide where the agent's reasoning runs, which models we use, how they are
• Build and tune the models: fine-tune open-weight models for our use, and decide when tuning
• Stand up the serving and infrastructure: deploy the agent and MCP server so they are reliable
• Build the testing into the system: programmatic eval sets, guardrails, and monitoring for quality
• Design the data model and tools with the AI product lead: the request and response payloads, the
• Set the engineering patterns and standards the team builds on, and keep the code and architecture

🎯 Requirements

• Deep, current, hands-on experience in the AI and LLM space. You work on this every day, not from
• Real experience with open-weight models: you have fine-tuned them (LoRA, QLoRA, SFT, DPO, or
• Experience owning an LLM system in production: you have served models reliably, pinned versions
• Enterprise-level design and architecture experience, with a track record of leading large
• Strong grasp of evaluation and guardrails: building eval sets, catching failure modes, and
• Fluency with the serving and ops stack: model serving, containers and orchestration, and

🎁 Benefits

• Base salary for this full-time hybrid role is $202,800-$238,600
• Total compensation package may include participation in variable cash bonus programs
• Equity
• Comprehensive range of health, welfare, and wellbeing benefits based on eligibility