Deployed Engineer, Professional Services

Responsibilities

• Advise enterprise customers on agent architecture, evaluation strategies, and production best practices.
• Co-build production agents with customer engineering teams across the full Agent Development Lifecycle (ADLC).
• Embed within customer organizations for extended engagements and ship agent systems directly alongside their engineers.
• Design agent architectures, orchestration patterns, evaluation systems, custom conversational UIs, and production deployments.
• Apply post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation methodologies.

Requirements

• 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 ability to articulate architectural decisions to engineers, architects, and CTOs.
• Experience with LangChain, LangGraph, Deep Agents, or comparable frameworks, including multi-agent patterns and state management such as short- and long-term memory.
• Familiarity with designing and implementing evaluation methodologies for non-deterministic AI systems.
• Ability to operate across advisory and embedded delivery engagements.

Nice to Have

• TypeScript or JavaScript experience.
• Experience with dataset curation and post-training techniques, including SFT, DPO, and RLHF, on open-weight models.
• Experience with Axolotl, Unsloth, Hugging Face Transformers, or TRL.
• Experience with trace mining and continuous improvement loops.

Compensation and Benefits

• $150,000–$215,000 base salary plus equity.
• Medical, dental, and vision coverage; flexible vacation; 401(k); and meals on in-office days in the United States.