About this role
Role Overview
The Solutions Engineer position at LangChain in Chicago is a remote-friendly, full-time technical role designed for professionals with extensive industry experience. This position is ideal for candidates who thrive at the intersection of engineering, product, and sales, working directly with clients to bring complex AI systems to production.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
LangChain is building the foundational infrastructure for agent engineering, helping developers transition from basic prototypes to reliable, production-ready artificial intelligence agents. Beginning as popular open-source tools, the organization now provides a comprehensive platform for building, evaluating, and operating agents at scale. Backed by prominent venture capital firms including Sequoia, IVP, Benchmark, CapitalG, and Sapphire Ventures, LangChain empowers team members to make a measurable impact on the future of real-world technology.
How to Apply
Interested candidates should visit the official LangChain careers page to submit their application for this role.
Skills and tech stack
Questions candidates ask
What is the salary range for the Solutions Engineer role?
The annual OTE range is between $200,000 and $275,000 USD, with final compensation depending on factors such as location, skills, and experience.
Where is this job located?
The position is based in Chicago, Illinois, with remote flexibility available.
How many years of experience are required?
Candidates must have six or more years of relevant technical experience in roles such as solutions engineering, sales engineering, software engineering, or customer engineering.
What benefits are offered with this position?
Benefits include medical, dental, and vision coverage, a 401(k) plan, flexible vacation, meals on in-office days in the US, and meaningful equity.
What does the Deployed Engineering team do at LangChain?
The Deployed Engineering team acts as the technical front line of the go-to-market motion, partnering with account executives to help companies evaluate LangChain, prove out hard use cases, and run agents reliably at scale.
