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LangChainLangChainDallas, TX

Solutions Engineer

Delivers customer-facing AI agent solutions from technical discovery and proofs of concept through production rollout. The role requires 6+ years in a relevant technical discipline, strong architecture and developer communication skills, and experience with production AI, cloud, or related platforms.

200k – 250k/yr
Remote6+ YOESolutions Architecture

About the role

Responsibilities

  • Partner with account executives to scope evaluations, conduct technical discovery, and design customer-specific proofs of concept.
  • Serve as the technical authority during architecture reviews, security and infrastructure discussions, and competitive evaluations.
  • Co-architect and co-build production AI agents with customer engineering teams from prototype through rollout.
  • Help customers deploy and operate conversational agents, research agents, and multi-step workflows.
  • Run demos, trainings, and workshops for developer audiences.
  • Advise customers post-sale on architecture, best practices, and roadmap decisions, and identify expansion opportunities.
  • Surface field feedback to product teams and build reusable proofs-of-concept assets, cookbooks, and example code.
  • Contribute code upstream when it improves customer outcomes.

Requirements

  • 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding/product engineering.
  • Experience owning the technical thread in a sales cycle, including discovery, proofs of concept, architecture reviews, and competitive evaluations.
  • Ability to explain technical tradeoffs clearly, build trust with developer audiences, and translate technical work into customer decisions.
  • Track record of taking responsibility for outcomes rather than only making recommendations.
  • Bias toward action and willingness to solve unfamiliar problems.
  • Genuine interest in operating AI agents in production rather than only building demos.

Nice to Haves

  • Production deployment of AI agents, especially with LangChain, LangGraph, or similar frameworks.
  • Experience carrying a technical number or working alongside a sales team against pipeline goals.
  • Experience with LLM evaluation, observability, or guardrails.
  • Experience with cloud environments, containers, and basic Kubernetes concepts.

Compensation and Benefits

  • Annual on-target earnings range: $200,000–$250,000 USD.
  • Compensation may include base salary, variable compensation, equity, benefits, and perks; actual offerings vary by role, level, and location.
  • Medical, dental, and vision coverage.
  • Flexible vacation.
  • 401(k) plan.
  • Meals on US in-office days.

Skills

LangChainLangGraphAI Agentsllm evaluationObservabilityguardrailsAWSGCPmicrosoft azureContainersKubernetesPythonproofs of concept
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