Production AI Agent Engineer - Pre-Sales & Deployment (NYC)

LangChain, Inc.; New York (NY); Sur place; USD 155 000 - 165 000; Plein temps

Avantages offerts par ce poste

Medical coverage

Flexible vacation

401(k) plan

Meals on in-office days

Résumé du poste

LangChain, Inc. is seeking a hands-on, production-focused engineer to work at the intersection of engineering, product, and go-to-market.

You will build and deploy AI agents in production, collaborating with customer engineers to turn ideas into reliable systems and drive the technical win in pre-sales. You will partner closely with customers across pre- and post-sale phases, deliver demos and workshops, and contribute to scalable patterns and code.

Qualifications

• 3+ years in a technical role with startups or scale-ups.
• Strong Python and JavaScript skills with systems fundamentals.
• Experience designing agent-based or LLM-powered applications beyond API calls.
• Comfortable working directly with customers during POCs and reviews.
• Able to explain technical tradeoffs clearly to developers.
• Focus on outcomes and owning project success.
• Bias toward action and hands-on problem solving.
• Experience operating AI agents in production.

Responsabilités

• Co-architect and co-build production AI agents with customer engineering teams.
• Own the technical win in pre-sales by designing POCs and guiding evaluations.
• Help customers deploy and operate agent-based applications and multi-step workflows.
• Advise customers post-sale on architecture and best practices.
• Run technical demos, trainings, and workshops for developer audiences.
• Surface field feedback and contribute reusable patterns and example code.
• Occasionally contribute code upstream when it improves outcomes.
• This role requires 40% travel to customer sites to support deployment.

Connaissances

3+ years in a relevant technical role

Python

JavaScript

Agent-based / LLM-powered apps

Customer-facing experience

Technical tradeoffs

Outcomes-focused

Production AI agents

Outils

LangChain

LangGraph

AWS

GCP

Azure

Docker

Kubernetes

Description du poste

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

This 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

You'll work on some of the hardest problems in applied AI alongside customers. You will help customers adopt innovative new practices in agentic engineering, and ensure they ship reliable agents into production, quickly. The feedback loop is fast, the impact is visible, and your work 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 and customers

• 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

• Build and run tailored demos, trainings, and workshops for developer audiences

• Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers

• Interface with LangChain's engineering, product and design (EPD) team to share field perspectives and guide product direction based on customer priorities

• Occasionally contribute code upstream when it meaningfully improves customer outcomes

• This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement

What You’ll Bring

• 1-3 years of experience in software engineering, customer engineering, solutions engineering, founding engineering, or a similarly technical role, ideally at a startup or high-growth company

• Strong Python, JavaScript and systems fundamentals

• Hands-on experience building and deploying agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling

• Strong technical communication skills and builder credibility; Can explain technical tradeoffs clearly, translate complex AI concepts into actionable insights, and build trust with technical customers and engineering teams

• Excited to work directly with customers during POCs, architecture reviews, and technical evaluations

• Take responsibility for outcomes, not just recommendations

• Have a bias toward action and enjoy figuring things out as you go

• Are excited about shipping AI agents in production

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 Kubernetes concepts

• Have shipped and operated production software and are comfortable owning systems under real-world constraints

Compensation

Annual OTE range: $160,000-185,000 USD

Compensation Philosophy:

We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.

We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. 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.