# Deployed Engineer, Professional Services

**Company:** [LangChain](https://hotfix.jobs/companies/langchain)
**Location:** San Francisco, CA, New York, NY, Atlanta, GA, Austin, TX, Dallas, TX, Las Vegas, NV, Nashville, TN, Seattle, WA, Boston, MA, Detroit, MI, San Diego, CA, Denver, CO
**Role:** Solutions Architecture
**Salary:** $150k – $215k/yr
**Experience:** 4+ years
**Skills:** Python, TypeScript, JavaScript, LangChain, LangGraph, Deep Agents, Multi-Agent Systems, State Management, Evaluation Methodologies, Conversational Uis, Supervised Fine-Tuning, Hugging Face Transformers, Axolotl, Unsloth, Trl
**Posted:** 2026-08-27

> Build and deliver production AI agent systems for enterprise customers through architecture advising, co-development, and embedded engineering engagements. Requires 4+ years of software engineering experience, deep Python expertise, and 2+ years shipping production agent systems.

## Job Description

## Responsibilities
- Advise enterprise customers on agent architecture, evaluation strategies, and production best practices.
- Co-build production agents with customer engineering teams across the full Agent Development Lifecycle (ADLC).
- Embed within customer organizations for extended engagements and ship agent systems directly alongside their engineers.
- Design agent architectures, orchestration patterns, evaluation systems, custom conversational UIs, and production deployments.
- Apply post-training, supervised fine-tuning, harness engineering, trace mining, model selection, and evaluation methodologies.

## Requirements
- 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 and ability to articulate architectural decisions to engineers, architects, and CTOs.
- Experience with LangChain, LangGraph, Deep Agents, or comparable frameworks, including multi-agent patterns and state management such as short- and long-term memory.
- Familiarity with designing and implementing evaluation methodologies for non-deterministic AI systems.
- Ability to operate across advisory and embedded delivery engagements.

## Nice to Have
- TypeScript or JavaScript experience.
- Experience with dataset curation and post-training techniques, including SFT, DPO, and RLHF, on open-weight models.
- Experience with Axolotl, Unsloth, Hugging Face Transformers, or TRL.
- Experience with trace mining and continuous improvement loops.

## Compensation and Benefits
- $150,000–$215,000 base salary plus equity.
- Medical, dental, and vision coverage; flexible vacation; 401(k); and meals on in-office days in the United States.

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**Apply:** https://hotfix.jobs/jobs/942cb249-1514-4a85-83f0-b97e31d7b383
**Canonical:** https://hotfix.jobs/jobs/942cb249-1514-4a85-83f0-b97e31d7b383