Deployed Engineer (Charlotte)
LangChain · Charlotte, NC
- Hybrid
- Full-time
- $250,000 / year
- Charlotte, NC
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Subject: Interested in the Deployed Engineer (Charlotte) role at LangChain
Hi Alex — I came across the Deployed Engineer (Charlotte) opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and LangChain stood out because…
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Job highlights
- Build and deploy production AI agents with customers.
- Drive technical wins in pre-sales and post-sale advisory.
- Work on cutting-edge applied AI problems.
- Utilize Python, JavaScript, and systems fundamentals.
- Shape the future of AI agent adoption.
About the role
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.
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.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
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
Annual OTE range: $150,000–$250,000 USD
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.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Key skills/competency
- AI Agent Development
- Customer Engineering
- Solutions Architecture
- LLM Applications
- Python
- JavaScript
- Production Deployment
- Technical Evaluation
- Cloud Environments
- Software Engineering
Skills & topics
- Deployed Engineer
- AI Agents
- Customer Engineering
- Solutions Engineering
- Python
- JavaScript
- LLM
- Artificial Intelligence
- Software Engineering
- Production Deployment
How to get hired
- Tailor your resume: Highlight your experience in software engineering, customer engineering, or solutions engineering, emphasizing Python, JavaScript, and AI agent design.
- Showcase customer-facing skills: Detail your experience working directly with clients on technical evaluations, architecture reviews, and product demonstrations.
- Demonstrate production experience: Emphasize any experience deploying and operating AI or LLM-powered applications, including knowledge of cloud environments and CI/CD.
- Prepare for technical and behavioral questions: Be ready to discuss complex technical trade-offs, problem-solving approaches, and your bias for action.
Technical preparation
Behavioral questions
Frequently asked questions
- What does a Deployed Engineer at LangChain do?
- A Deployed Engineer at LangChain partners directly with customers to build and operate production-ready AI agents. This involves co-architecting solutions, leading technical evaluations, assisting with deployment, and providing ongoing advisory support, all while focusing on real-world applications beyond simple demos.
- What technical skills are most important for the Deployed Engineer role at LangChain?
- Strong proficiency in Python and JavaScript, along with solid systems fundamentals, is crucial. Experience designing agent-based or LLM-powered applications, including multi-step workflows and orchestration, is highly valued. Familiarity with cloud environments and production software deployment is also beneficial.
- How does LangChain support its Deployed Engineers?
- Deployed Engineers are integral to LangChain's success, working at the forefront of applied AI. The role offers a fast feedback loop, visible impact, and the opportunity to directly shape how AI agents are built. You'll collaborate with customer engineering teams and influence product development with real-world insights.
- What is the career growth path for a Deployed Engineer at LangChain?
- As a Deployed Engineer, you'll gain deep expertise in applied AI and customer success. This role provides a unique blend of technical depth and customer interaction, offering opportunities to lead technical strategies, influence product direction, and grow within a rapidly scaling AI company.
- What kind of customers will I work with as a Deployed Engineer at LangChain?
- You will work with a diverse range of customers, including major industry players and innovative startups. Many Fortune 500 companies, including teams at Klarna, Coinbase, Workday, and Lyft, are already using LangSmith in production, providing opportunities to tackle impactful real-world AI challenges.
- Is this role remote or on-site for the Deployed Engineer position?
- The job description mentions Charlotte, NC as the location, and offers benefits like 'meals on in-office days in the US,' suggesting a hybrid or on-site arrangement. However, specific work arrangement details (remote, hybrid, on-site) should be confirmed directly with the hiring team.
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