Deployed Engineer (Chicago)
LangChain · Remote · Chicago, IL ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Hybrid role (Chicago)
- Python + JavaScript
- AI Agent Architecture
- Customer-facing Tech
- Up to 25% Travel
Join the Deployed Engineering team at LangChain to bridge the gap between prototype and production for enterprise AI agents. You will partner directly with customer engineering teams to design robust architectures, ensure reliable operations at scale, and drive technical adoption of the LangChain platform.
This position sits at the intersection of engineering and go-to-market, requiring deep technical expertise in Python and JavaScript alongside strong client-facing skills. You will shape real-world implementation patterns while feeding insights back into product development.
What you'll do
- Co-architect and build production AI agents alongside customer engineering teams
- Lead technical wins by designing proofs of concept and guiding evaluations
- Assist customers in deploying and operating conversational and research agents
- Provide post-sale advisory on architecture, best practices, and roadmap decisions
- Conduct technical demos, training sessions, and workshops for developers
- Create reusable patterns, cookbooks, and example code based on field feedback
- Contribute upstream code when it significantly improves customer outcomes
What you'll need
- Six or more years in software, solutions, or product engineering roles
- Strong proficiency in Python, JavaScript, and core system fundamentals
- Experience designing LLM-powered apps with multi-step workflows and orchestration
- Comfortable leading technical discussions during POCs and architecture reviews
- Ability to explain technical tradeoffs clearly to developer audiences
- Focus on delivering tangible outcomes rather than just providing recommendations
- Self-starter mindset with enthusiasm for production-grade AI operations
Nice to have
- Production experience with LangChain, LangGraph, or similar frameworks
- Familiarity with LLM evaluation, observability tools, or guardrails
- Knowledge of cloud environments like AWS, GCP, or Azure
- Understanding of containers and basic Kubernetes concepts
- Track record of shipping and operating software under real-world constraints
Stack
- Python
- JavaScript
- LangChain
- LangGraph
- AWS
- GCP
- Azure
- Kubernetes
How you'll work
- Hybrid work model based in Chicago, Illinois
- Travel to customer sites required up to 25 percent of the time
What you get
- Medical, dental, and vision insurance coverage
- Flexible vacation policy
- 401(k) retirement plan
- Meals provided on in-office days
- Competitive equity package