Deployed Engineer (Seattle)

LangChain
Seattle
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Communication","Problem-solving","Collaboration"]

Deployed Engineers work on production AI agent systems, co-architecting agent-based applications with customer teams, owning the technical win in pre-sales, and guiding deployment and post-sale architecture for enterprise-scale LangChain deployments.

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FursaFursa
LangChain
LangChain
3 months ago

Deployed Engineer (Seattle)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Deployed Engineers work on production AI agent systems, co-architecting agent-based applications with customer teams, owning the technical win in pre-sales, and guiding deployment and post-sale architecture for enterprise-scale LangChain deployments.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

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:MedicalDentalVision401k

Key Requirements

  • •5+ 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 skills with solid systems fundamentals
  • •Experience designing agent-based or LL M-powered applications beyond simple API calls, including multi-step workflows and orchestration
  • •Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
  • •Ability to explain technical tradeoffs clearly, take ownership of outcomes, and operate AI agents in production
Experience:5+ yearsAiEnterprise softwareSaaS
Skills:CommunicationProblem-solvingCollaboration
Languages:English
Tech Stack:PythonJavaScriptLangChainLangGraphLangSmithAWSGCPAzureKubernetesContainersLLM

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