Production AI Solutions Engineer

LangChain, Inc.

Dallas, Northern (TX, KY)

Hybrid

USD 200,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401(k)

Meals on in-office days

Job summary

LangChain, Inc. is seeking a highly technical Solutions Engineer to own the technical win with customers, scoping evaluations, designing POCs, and serving as the in-room expert during architecture reviews.

You will co-build production AI agents with customer teams, from prototype to rollout, and help deploy agent-based applications across complex workloads. You will also run technical demos, trainings, and workshops for developers, while advising customers on architecture and best practices

Qualifications

6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up.
Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations.
Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make.
A track record of taking responsibility for outcomes, not just recommendations.
A bias toward action and a willingness to figure things out as you go.
Genuine interest in operating AI agents in production, not just building demos.

Responsibilities

Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case.
Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations.
Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout.
Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows.
Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement.
Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations.
Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts.
Contribute code upstream when it meaningfully improves customer outcomes.