Senior Deployed AI Engineer — Enterprise Solutions

OfferGenie; San Francisco (CA); Hybrid; USD 150,000 - 215,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Flexible vacation

401(k) plan

Meals on in-office days

Job summary

LangChain is seeking a Deployed Engineer to join our Professional Services team in San Francisco, helping enterprise customers translate complex workflows into production-grade AI agents. You will embed with customer teams, design robust agent architectures, and guide deployments from PoCs to production across diverse domains.

You will work across the full Agent Development Lifecycle, applying advanced evaluation methods and post-training techniques while traveling up to 20% to serve strategic

Qualifications

• 4+ years of software engineering experience with Python.
• 2+ years building and shipping production agent systems.
• Strong client-facing communication to articulate architectural decisions to engineers, architects, CTOs.
• Hands-on experience with LangChain, LangGraph or Deep Agents, or equivalent multi-agent frameworks.
• Experience designing evaluation methodologies for non-deterministic AI systems.
• Willing to travel up to 20% of the time.

Responsibilities

• Advising: architecture design, evaluation strategy and best-practice production guidance.
• Building: co-build with the customer's engineering team across the full Agent Development Lifecycle.
• Embedding: serve as a deployed engineer inside the customer's team for extended engagements.
• Agent Engineering: manage end-to-end ADLC, orchestration, evals, UI, and deployment.
• Applied AI: post-training techniques, trace mining, model selection and evaluation methodology.

Skills

Python

Agent systems

LangChain/LangGraph/Deep Agents

Client-facing communication

Evaluation methodologies

Travel up to 20%

Job description

LangChain is seeking a Deployed Engineer to join our Professional Services team in San Francisco, helping enterprise customers translate complex workflows into production-grade AI agents. You will embed with customer teams, design robust agent architectures, and guide deployments from PoCs to production across diverse domains.

You will work across the full Agent Development Lifecycle, applying advanced evaluation methods and post-training techniques while traveling up to 20% to serve strategic