Solutions Engineer (Chicago)
LangChain · Remote · Chicago, IL ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (US)
- Solutions Engineering
- AI Agents & LLMs
- Senior Level
- $200k-$300k OTE
Join the Deployed Engineering team at LangChain, where you will serve as the technical front line for go-to-market efforts. You will partner with account executives to help enterprises evaluate, prove, and scale intelligent agents using LangSmith and open-source frameworks.
This hands-on role requires owning the technical thread of the sales cycle, from initial discovery to post-sale architecture advice. You will co-build production-ready AI systems with customer engineering teams and translate field insights into product improvements.
What you'll do
- Partner with sales to scope evaluations and design proofs of concept mapped to real use cases
- Act as technical authority during architecture reviews and competitive evaluations
- Co-architect and build production AI agents with customer engineering teams
- Help customers deploy and operate conversational and research agents at scale
- Conduct demos, trainings, and workshops for developer audiences
- Advise post-sale on architecture best practices and identify expansion opportunities
- Surface field feedback to product teams and create reusable code assets
What you'll need
- 6+ years in solutions engineering, software engineering, or related technical roles
- Experience owning technical threads in sales cycles including discovery and POCs
- Ability to explain technical tradeoffs clearly to developer audiences
- Track record of taking responsibility for outcomes rather than just recommendations
- Bias toward action and willingness to figure things out independently
- Genuine interest in operating AI agents in production environments
Nice to have
- Experience deploying AI agents in production using LangChain or LangGraph
- Background carrying a technical number or working against sales pipeline goals
- Familiarity with LLM evaluation, observability tools, or guardrails
- Experience with cloud environments like AWS, GCP, or Azure
- Knowledge of containers and basic Kubernetes concepts
Stack
- LangChain
- LangGraph
- LangSmith
- AWS
- GCP
- Azure
- Kubernetes
How you'll work
- Fully remote within the United States
- Collaboration with global teams across time zones
What you get
- Annual OTE range of $200,000 to $300,000 USD
- Medical, dental, and vision coverage
- Flexible vacation policy
- 401(k) retirement plan
- Meals provided on in-office days in the US
- Meaningful equity package