Deployed Engineer (Southeast)

Langchain; Atlanta (GA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible vacation

401(k) plan

Life insurance

Job summary

A pioneering AI-focused technology company in Atlanta is seeking a Deployed Engineer to work on production AI agents. The role involves working closely with customer engineering teams, owning technical wins during pre-sales, and advising on post-sales architecture and best practices. Ideal candidates should have over 3 years in a relevant technical role, strong Python and JavaScript skills, and be excited to operate AI agents in real-world environments. Competitive compensation in a dynamic team setting.

Qualifications

• 3+ years in a relevant technical role, ideally in a startup or scale-up.
• Strong understanding of Python and JavaScript.
• Experience designing agent-based or LLM-powered applications.
• Comfortable working directly with customers.
• Ability to explain technical tradeoffs clearly.
• Take responsibility for outcomes.
• Bias toward action and problem-solving.
• Excited about operating AI agents in production.

Responsibilities

• 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.
• Advise customers post-sale on architecture and best practices.
• Run technical demos, trainings, and workshops.
• Surface field feedback and contribute reusable patterns.
• Occasionally contribute code upstream for customer outcomes.

Skills

Python

JavaScript

Systems fundamentals

Customer engineering

Solutions engineering

Multi-step workflows

Orchestration

Failure handling

Tools

LangChain

LangGraph

AWS

GCP

Azure

Kubernetes

Job description

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.

Location: Atlanta

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 & 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