Remote Deployed AI Agent Engineer for Enterprise

LangChain; Dallas (TX); On-site; USD 150,000 - 215,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible vacation

401(k) plan

Meals on in-office days (US)

Job summary

LangChain is seeking a Deployed Engineer to join our Professional Services team, partnering with enterprise customers to build reliable production agents. You will translate complex workflows into concrete software specs and guide engineering teams, or build the solution for them.

You may design an agent architecture for a customer, co-build evaluation pipelines, or embed within their team to ship agent systems.

Qualifications

• 4+ years of software engineering experience in Python
• 2+ years building and shipping production agent systems
• Strong client-facing communication skills with technical stakeholders
• Experience with LangChain/LangGraph/Deep Agents or comparable frameworks
• Deep familiarity evaluating non-deterministic AI systems
• Ability to operate from advisory to embedded delivery

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 in outcome-scoped engagements.
• Embedding: Serve as a deployed engineer inside the customer's team for extended engagements.
• Agent Engineering: ADLC end-to-end architecture design, orchestration patterns, evals, and production deployment.
• Applied AI: Post-training, supervised fine-tuning, model selection and evaluation methodology.

Skills

Python

TypeScript/JS

Client-facing comms

LangChain/LangGraph/Deep Agents

Evaluation methods

Tools

LangChain

LangGraph

Deep Agents

Evaluation frameworks

Job description

LangChain is seeking a Deployed Engineer to join our Professional Services team, partnering with enterprise customers to build reliable production agents. You will translate complex workflows into concrete software specs and guide engineering teams, or build the solution for them.

You may design an agent architecture for a customer, co-build evaluation pipelines, or embed within their team to ship agent systems.