Remote Deployed AI Agent Engineer - Equity

LangChain; Seattle (WA); On-site; USD 150,000 - 215,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401(k)

Meals on in‑office days (US)

Job summary

LangChain seeks a Deployed Engineer for our Professional Services team, working directly with enterprise customers to translate vague workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them.

You may spend a week designing an agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. This role demands real AI systems experience in production.

Qualifications

• 4+ years of software engineering experience with deep expertise in Python; JavaScript/TypeScript a plus.
• 2+ years of hands-on experience building and shipping production agent systems.
• Strong client-facing communication skills, able to 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

Client-facing communication

Agent architecture design

Evaluation methodologies

ADLC delivery

Tools

LangChain/LangGraph/Deep Agents

Multi-agent patterns

Trace mining tools

Axolotl/Unsloth/Hugging Face/TRL

Job description

LangChain seeks a Deployed Engineer for our Professional Services team, working directly with enterprise customers to translate vague workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them.

You may spend a week designing an agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. This role demands real AI systems experience in production.