Deployed Engineer, Professional Services (NYC)

What you'll do

• Advise customers on agent architecture, evaluation strategies, and production best practices.
• Co-build agent systems across the Agent Development Lifecycle, including orchestration, evaluations, conversational UIs, and deployment.
• Embed with customer teams to ship agent systems and support applied AI work such as post-training, trace mining, and model 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.
• 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; strong client-facing communication skills and willingness to travel up to 20% are also required.

Nice to have

• Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools such as Axolotl, Unsloth, Hugging Face transformers, or TRL.
• Experience with trace mining to drive continuous improvement loops.

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 agents; develop evaluation methodologies and agent architectures; support post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation.