Lead Applied AI Engineer

LangChain
New York
Workplace: OnsiteFull timeUSD 160,000 - 200,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Mentoring","Code review","Technical communication","Problem solving","Stakeholder management"]

Lead end-to-end delivery of AI workflows and agentic systems that solve real business problems. Build and iterate on agent architectures, evaluation pipelines, and performance frameworks to improve reliability and measurable outcomes. Raise the team’s technical bar through quality, testing, documentation, and scoping, while mentoring engineers via code reviews and design discussions. Collaborate with customers and internal stakeholders to translate requirements into technical plans and identify tooling gaps.

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FursaFursa
LangChain
LangChain
2 days ago

Lead Applied AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead end-to-end delivery of AI workflows and agentic systems that solve real business problems. Build and iterate on agent architectures, evaluation pipelines, and performance frameworks to improve reliability and measurable outcomes. Raise the team’s technical bar through quality, testing, documentation, and scoping, while mentoring engineers via code reviews and design discussions. Collaborate with customers and internal stakeholders to translate requirements into technical plans and identify tooling gaps.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and deploy end-to-end AI workflows and agents across multiple business domains.
  • •Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks for reliability and measurable outcomes.
  • •Set team standards for code quality, testing, documentation, and project scoping.
  • •Mentor engineers through code review and design discussions.
  • •Collaborate with customers and internal stakeholders to translate requirements into technical plans; identify and improve internal tooling and processes.

Pay and Benefits

Salary: USD 160,000 - 200,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kLife InsurancePaid LeaveMeal Allowance

Key Requirements

  • •4+ years of software engineering experience building and deploying LLM-powered applications or agents in production.
  • •Experience leading technical projects end to end, mentoring engineers, and raising engineering quality.
  • •Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
  • •Deep understanding of AI system components such as prompting, retrieval, orchestration, inference APIs, and model selection.
  • •Strong coding skills in Python or TypeScript (ideally both).
Experience:4+ yearsLLM applicationsAI agentsOpen sourceStartup
Skills:MentoringCode reviewTechnical communicationProblem solvingStakeholder management
Tech Stack:PythonTypeScriptLLMInference APIsPromptingRetrievalOrchestrationModel selectionLangChainLangGraphLangSmithEvaluation pipelinesMonitoring

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