Deployed Engineer (Seattle)
Langchain
Seattle, WAPosted Discovered via AshbyMatch locked
FullTime5+ years expDeployed Engineering
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
•
5+ 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: $165,000-$380,000 USD
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
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.
Not included in the source posting: qualifications.
Skills
artificial-intelligencelangchainllmawsazuregcpgokubernetesjavascriptpython
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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