LangChain - Deployed Engineer (San Francisco)
Requirements
• 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up • 3+ years • startup or scale-up • Strong Python, JavaScript and systems fundamentals • Python, JavaScript • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling • agent-based or LLM-powered applications • Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations • directly with customers • Can explain technical tradeoffs clearly and build trust with developer audiences • explain technical tradeoffs clearly • Take responsibility for outcomes, not just recommendations • outcomes • Have a bias toward action and enjoy figuring things out as you go • bias toward action • Are excited about operating AI agents in production, not just building demos • operating AI agents in production • You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks • AI agents in production • LangChain, LangGraph • Worked with LLM evaluation, observability, or guardrails • LLM evaluation, observability, or guardrails • Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts • cloud environments • Have shipped and operated production software and are comfortable owning systems under real-world constraints • shipped and operated production software
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 • technical win • 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 • Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers • Occasionally contribute code upstream when it meaningfully improves customer outcomes
Benefits
• We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. • Annual OTE range: $150,000–$250,000 USD • Annual OTE range: • $150,000–$250,000 USD
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