Production AI Agent Architect for Enterprise

LangChain; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

LangChain is seeking a Deployed Engineer for the Professional Services team to work directly with enterprise customers, building reliable, production-grade agents. You will translate complex workflows into concrete software specs and guide engineering teams through the resulting solutions, or build them for customers.

You will spend time designing agent architectures, co-building end-to-end evaluation pipelines, and embedding as a trusted team member to ship agent systems in production.

Qualifications

• 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, with the ability to confidently articulate architectural decisions to technical stakeholders.

Responsibilities

• Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
• Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
• Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
• Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
• Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.

Skills

Python

TypeScript/JavaScript

Client-facing communication

Agent architecture design

Job description

LangChain is seeking a Deployed Engineer for the Professional Services team to work directly with enterprise customers, building reliable, production-grade agents. You will translate complex workflows into concrete software specs and guide engineering teams through the resulting solutions, or build them for customers.

You will spend time designing agent architectures, co-building end-to-end evaluation pipelines, and embedding as a trusted team member to ship agent systems in production.