Deployed Engineer (Fully Remote)

LangChain; United States; Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k)

Job summary

LangChain is seeking an engineer to advise on agent architectures, review evaluation strategies, and provide production best practices. You will co-build with customer engineering teams across the ADLC in outcome-scoped engagements and embed as a deployed engineer inside customer teams for extended periods, acting as a de facto member of their organization.

Ideal candidates have hands-on experience with LangChain/LangGraph or comparable frameworks, including multi-agent patterns, and familiarity

Qualifications

• Hands-on experience building production-grade agent systems.
• Ability to articulate architectural decisions to clients.
• Experience with LangChain/LangGraph or comparable frameworks, including multi-agent patterns.
• Familiarity with evaluation methodologies for non-deterministic AI systems.

Responsibilities

• Advising: Design agent architectures, review evaluation strategies, and provide production best practices.
• Building: Co-build with customer engineering teams across the ADLC in outcome-scoped engagements.
• Embedding: Serve as a deployed engineer inside customer teams for extended periods, operating as a de facto member of their org.

Skills

Agent architectures

Client-facing communication

Multi-agent patterns

Evaluation methodologies

Tools

LangChain

LangGraph

Job description

• Advising: Design agent architectures, review evaluation strategies, and provide production best practices.
• Building: Co-build with customer engineering teams across the ADLC in outcome-scoped engagements.
• Embedding: Serve as a deployed engineer inside customer teams for extended periods, operating as a de facto member of their org.

Requirements:

• 2+ years of hands-on production agent system building.
• Strong client-facing communication skills to articulate architectural decisions.
• Experience with LangChain/LangGraph or comparable frameworks, including multi-agent patterns.
• Familiarity with evaluation methodologies for non-deterministic AI systems.

Nice to Have:

• Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models.
• Experience with trace mining for continuous improvement loops.
• Competitive base salary, variable comp, equity, and standard benefits.
• Medical, dental, vision, flexible vacation, 401(k), meals on in-office days in the US.

LangChain

LangChain makes intelligent agents ubiquitous by providing open-source frameworks and a platform for building, evaluating, and deploying AI agents. With $125M Series B funding and a growing team, we serve 35% of the Fortune 500 with a culture of impact and collaboration.