Deployed Engineer (Central)

LangChain
Dallas
Workplace: RemoteFull timeFunction: OtherSkills: ["Communication","Problem-solving","Customer focus","Collaboration","Teamwork"]

Join LangChain’s Deployed Engineering team to co-architect and deploy production AI agents for enterprise customers. You’ll lead pre-sales technical wins with POCs, guide customer evaluations, help deploy agent-based applications, advise on architecture post-sale, and run demos and trainings, delivering real-world impact at scale.

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FursaFursa
LangChain
LangChain
6 months ago

Deployed Engineer (Central)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Join LangChain’s Deployed Engineering team to co-architect and deploy production AI agents for enterprise customers. You’ll lead pre-sales technical wins with POCs, guide customer evaluations, help deploy agent-based applications, advise on architecture post-sale, and run demos and trainings, delivering real-world impact at scale.
Location: Dallas
Workplace: Remote
Employment Type: Full time
Seniority: Mid level

Key Responsibilities

  • •Co-architect and co-build production AI agents with customer engineering teams
  • •Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
  • •Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
  • •Advise customers post-sale on architecture, best practices, and roadmap-level decisions
  • •Run technical demos, trainings, and workshops for developer audiences

Pay and Benefits

Perks:MedicalDentalVision401kLife InsurancePaid Leave

Key Requirements

  • •3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering) ideally in a startup or scale-up
  • •Strong Python and JavaScript and systems fundamentals
  • •Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
  • •Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
  • •Can explain technical tradeoffs clearly and build trust with developer audiences
Experience:AISaaS
Skills:CommunicationProblem-solvingCustomer focusCollaborationTeamwork
Languages:English
Tech Stack:PythonJavaScriptLLMLangChainLangGraphAWSGCPAzureKubernetesContainersObservability

Company Brief

LangChain
Provides an open-source framework and commercial platform (LangSmith/LangGraph) for building, testing, monitoring, and deploying LLM-powered applications and agentic AI for developers and enterprises.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Revenue: USD 10M to 25M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2022
WebsiteLinkedIn