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LangChain
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  • People Partner  

    People Partner LangChain is scaling for our next phase of growth, and... Read More
    People Partner LangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren't just "supporting" the teamyou are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil. We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership. Location/City: San Francisco, CA; New York, NY Responsibilities: Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomesvelocity, quality, and retentionthrough intentional people strategies rather than standard HR playbooks. Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds. AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration. Strategic Coaching Read Less
  • Product Marketing - LangSmith Fleet  

    - San Francisco County
    Product Marketing Manager We're looking for a Product Marketing Manage... Read More
    Product Marketing Manager We're looking for a Product Marketing Manager to help drive go-to-market for LangSmith Fleet, our product for bringing agents to every team in an organization. Fleet enables anyone to build, use, and manage agents with natural language while giving organizations the security, observability, model flexibility, admin controls, and API extensibility they need to deploy agents responsibly across the business. It sits at the intersection of developer platform, enterprise SaaS, and end-user productivity. This role will help shape how we take Fleet to market across both sales-led and product-led growth motions. You'll work on positioning and messaging, product launches, content, enablement, campaigns, customer storytelling, and cross-functional programs in partnership with product, sales, education, and marketing. The audience is broad and nuanced: technical buyers who care about security, observability, integrations, APIs, and governance; technical champions who want to extend and operationalize agents; and nontechnical users who need to understand what agents can do for their day-to-day work. You'll help translate a rapidly evolving product into clear stories, content, and programs that drive awareness, adoption, and revenue. What You'll Do Help launch new Fleet capabilities in a fast-moving market. You'll partner with product and GTM to bring new features and use cases to market. Develop positioning and messaging for Fleet. You'll help define how Fleet shows up across the website, sales materials, launch assets, campaigns, product pages, and customer-facing content. Create content that helps different audiences understand and adopt Fleet. This may include launch blogs, solution briefs, use case pages, customer stories, comparison pages, demo narratives, sales decks, guides, and campaign assets. Build enablement for a sales-led motion. You'll help equip sales and customer-facing teams with talk tracks, objection handling, discovery questions, demo narratives, competitive context, and materials that help them speak to technical buyers and business stakeholders. Support PLG and adoption programs. Fleet is also a product businesses and users can try, build with, and adopt directly. You'll help create onboarding, activation, lifecycle, and educational content that helps users understand what to build and how to get value. Partner with demand generation on campaigns. You'll help turn product narratives, use cases, launches, and customer insights into campaigns that drive pipeline and product adoption. Stay close to customers and the market. You'll synthesize customer conversations, sales feedback, product usage signals, competitive activity, and market trends into insights that improve our messaging, roadmap inputs, and GTM strategy. Help define how Fleet fits into the broader LangSmith platform. You'll connect the Fleet story to Observability, Evaluation, Deployment, Sandboxes, LangGraph, and the broader LangChain ecosystem. What You'll Bring You have 24+ years of product marketing, developer marketing, or solutions marketing experience. You've worked on technical products, developer tools, AI/ML products, B2B SaaS, infrastructure, automation, or platform products. You can translate technical concepts into clear, customer-facing messaging. You don't need to be an engineer, but you should be comfortable learning technical products and asking good questions. You're excited by a product that serves multiple audiences: developers, technical buyers, operators, admins, and nontechnical end users. You understand how sales-led and product-led motions can work together. You can create materials that help sales teams win while also helping self-serve users understand and adopt the product. You write clearly and quickly. You can turn a product capability, customer problem, or technical workflow into a compelling piece of content or enablement. You like working cross-functionally. You'll partner closely with product, sales, demand gen, devrel, education, customer-facing teams, and the broader marketing team. You're comfortable with ambiguity and iteration. Fleet is evolving quickly, and the market for workplace agents is still being defined. You're excited to ship, learn, and improve. You have genuine curiosity about agents and how they will change how teams work. You use AI tools in your own work and are interested in finding new ways to increase your effectiveness with them. Nice to Have Experience marketing developer tools, AI products, automation products, productivity tools, or enterprise SaaS platforms. Familiarity with the LLM, agent, or AI application development ecosystem. Experience supporting both technical buyers and business/end-user audiences. Experience partnering with sales on enterprise deals, including enablement, customer-facing storytelling, competitive support, or account-based campaigns. Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption. Why Join You'll help define a new category. Fleet is bringing agents from developer experiments into everyday work across companies. You'll work on a product with both end-user pull and enterprise depth. Fleet is easy to try, but also deeply connected to LangSmith's security, observability, evaluation, deployment, and API capabilities. Your work will directly shape how the market understands Fleet. This is a high-impact product area with room to influence messaging, launches, content, campaigns, and GTM strategy. You'll join a small, fast-moving team. You'll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly. Agents are where software is heading. LangChain is at the center of that shift, and you'll help tell the story of how agents move from prototypes to real usage across companies. Compensation $125,000 to $165,000 + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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. Read Less
  • Content Lead  

    Content Lead We're looking for a Content Lead to build and scale LangC... Read More
    Content Lead We're looking for a Content Lead to build and scale LangChain's content practice. In this player/coach role, you'll drive our strategic content direction while managing and mentoring a Content Marketer. You'll lead the vision for how we reach, educate, and deepen engagement with our developer communityfrom blog and thought leadership to flagship initiatives. Beyond execution, you'll build the processes, standards, and team capabilities that allow us to produce high-quality, high-velocity content as we scale. This is a high-impact role with real ownership. You'll shape LangChain's voice in the developer community and set the editorial bar for technical quality. You'll stay hands-on with our most critical content initiatives while empowering your team to own end-to-end projects. You'll partner closely with education, engineering, product, and marketing to surface the most important stories and ensure our work reaches the right audiences through the right channels. You should be comfortable moving between big-picture strategy and hands-on executiondeciding what we publish and why, while also writing and editing key pieces and iterating on quality. You'll define our editorial direction and content roadmap, build scalable workflows and standards, mentor your team on both craft and strategy, own flagship projects like the State of Agents report, and collaborate with our SEO agency on SEO efforts. What You'll Do Build and mentor your content team: Hire, onboard, and develop a high-performing Content Marketing team. Provide regular feedback, coach them toward strategic thinking, delegate ownership of key initiatives, and create growth opportunities. Set clear expectations, establish editorial standards, and empower your team to ship great content independently. Define content strategy and roadmap: Develop and execute the strategic vision for LangChain's content, identifying key themes, audience segments, and content opportunities that drive business goals. Create a rolling editorial calendar that aligns with product launches, market moments, and developer needs. Lead flagship content initiatives: Drive industry-defining thought leadership pieces like the State of Agents report. Work with internal subject matter experts to produce authoritative, data-driven content that shapes industry conversation. Own blog performance and organic growth: Drive organic web traffic through exceptional content strategy and execution. Own blog metrics including traffic, engagement, and conversion. Work with your team to ideate, execute, and iterate on content that resonates with developers. Write and edit high-impact content: Create and edit strategic blog posts, thought leadership pieces, and long-form content. Stay hands-on with our most important pieces to maintain voice, quality, and technical accuracy. Model excellent writing and editing for your team. Expand SEO Read Less
  • Remote Deployed Engineer (Raleigh)  

    - Arapahoe County
    About Us At LangChain, our mission is to make intelligent agents ubiqu... Read More
    About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do 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 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 What You’ll Bring 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, 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 Take responsibility for outcomes , not just recommendations Have a bias toward action and enjoy figuring things out as you go Are excited about operating AI agents in production , not just building demos Nice to Have’s: You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks Worked with LLM evaluation, observability, or guardrails Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Read Less
  • Remote Deployed Engineer (Raleigh)  

    - Lucas County
    About Us At LangChain, our mission is to make intelligent agents ubiqu... Read More
    About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do 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 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 What You’ll Bring 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, 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 Take responsibility for outcomes , not just recommendations Have a bias toward action and enjoy figuring things out as you go Are excited about operating AI agents in production , not just building demos Nice to Have’s: You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks Worked with LLM evaluation, observability, or guardrails Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Read Less
  • Remote Deployed Engineer (Charlotte)  

    - Essex County
    About Us At LangChain, our mission is to make intelligent agents ubiqu... Read More
    About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do 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 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 What You’ll Bring 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, 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 Take responsibility for outcomes , not just recommendations Have a bias toward action and enjoy figuring things out as you go Are excited about operating AI agents in production , not just building demos Nice to Have’s: You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks Worked with LLM evaluation, observability, or guardrails Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Read Less
  • Remote Deployed Engineer (Raleigh)  

    - Fulton County
    About Us At LangChain, our mission is to make intelligent agents ubiqu... Read More
    About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do 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 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 What You’ll Bring 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, 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 Take responsibility for outcomes , not just recommendations Have a bias toward action and enjoy figuring things out as you go Are excited about operating AI agents in production , not just building demos Nice to Have’s: You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks Worked with LLM evaluation, observability, or guardrails Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Read Less
  • Remote Deployed Engineer (Charlotte)  

    - Lancaster County
    About Us At LangChain, our mission is to make intelligent agents ubiqu... Read More
    About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do 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 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 What You’ll Bring 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, 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 Take responsibility for outcomes , not just recommendations Have a bias toward action and enjoy figuring things out as you go Are excited about operating AI agents in production , not just building demos Nice to Have’s: You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks Worked with LLM evaluation, observability, or guardrails Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Read Less
  • Remote Deployed Engineer (Charlotte)  

    About Us At LangChain, our mission is to make intelligent agents ubiqu... Read More
    About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do 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 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 What You’ll Bring 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, 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 Take responsibility for outcomes , not just recommendations Have a bias toward action and enjoy figuring things out as you go Are excited about operating AI agents in production , not just building demos Nice to Have’s: You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks Worked with LLM evaluation, observability, or guardrails Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Read Less
  • Remote Deployed Engineer (Raleigh)  

    - Shelby County
    About Us At LangChain, our mission is to make intelligent agents ubiqu... Read More
    About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the Team The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. About the Role The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production . The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. What You’ll Do 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 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 What You’ll Bring 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, 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 Take responsibility for outcomes , not just recommendations Have a bias toward action and enjoy figuring things out as you go Are excited about operating AI agents in production , not just building demos Nice to Have’s: You’ve deployed AI agents in production , especially using LangChain, LangGraph , or similar frameworks Worked with LLM evaluation, observability, or guardrails Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Read Less

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Astrid-Lindgren-Weg 12 38229 Salzgitter Germany