Deployed Engineer, Professional Services (San Francisco)

What you'll do

• Advise on agent architecture, evaluation strategy, and production practices; communicate technical tradeoffs to customer stakeholders.
• Co-build or deliver agent systems across the Agent Development Lifecycle, including orchestration, evaluations, conversational UIs, and production deployment.
• Apply techniques including post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation.

What they ask for

• 4+ years of software engineering experience with deep expertise in Python.
• 2+ years of hands-on experience building and shipping production agent systems.
• Strong client-facing communication skills and experience with LangChain, LangGraph, Deep Agents, or comparable frameworks, including multi-agent patterns and state management.
• Deep familiarity with evaluation methodologies for non-deterministic AI systems; willing to travel up to 20% of the time.

Nice to have

• TypeScript/JavaScript.
• Dataset curation and post-training on open-weight models using tools such as Axolotl, Unsloth, Hugging Face transformers, or TRL; experience with trace mining.

Pay

$150,000-$300,000 USD base salary

Tools

Python, TypeScript/JavaScript, LangChain, LangGraph, Deep Agents, Axolotl, Unsloth, Hugging Face transformers

AI focus

Build and deploy production AI agents for enterprise customers; advise on agent architecture and evaluation, and apply post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation methods.