What's the salary range?

LangChain lists $150,000–$250,000 for this role.

How much experience is required?

At least 6 years of relevant experience for this Deployed Engineer (Houston) role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, Deep Agents, JavaScript, LangChain, LangGraph, Python.

What seniority level is this role?

LangChain targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Deployed Engineer (Houston) role at LangChain.

Joblaze summary

In the role of Deployed Engineer at LangChain, the individual will collaborate closely with customer engineering teams to design and implement production-ready AI agents, ensuring these systems are reliable and effective. Proficiency in Python and JavaScript, along with experience in architecting complex agent-based applications, is essential for success in this position. This role is ideal for seasoned professionals with a background in software or solutions engineering, particularly those who thrive in dynamic environments and enjoy direct customer engagement. LangChain's focus on real-world applications of AI agents offers a unique opportunity to influence the technology's practical deplo

Joblaze insights

Listed about 2 months ago — first seen on Joblaze August 3, 2026. Last confirmed on LangChain's careers page October 7, 2026.
Salary band is below the typical range for AI/ML roles (median ~$190,000).
Starts above 13% of 208 comparable senior ai/ml roles in United States that list Python we track (median $181,000 across 69 companies). See Python salary trends
Python appears in 53.3% of 544 comparable senior ai/ml roles in United States; Deep Agents appears in 0.7% of 544 comparable senior ai/ml roles in United States.

Quick facts

What's the salary range?: LangChain lists $150,000–$250,000 for this role.
How much experience is required?: At least 6 years of relevant experience for this Deployed Engineer (Houston) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Deep Agents, JavaScript, LangChain, LangGraph, Python.
What seniority level is this role?: LangChain targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Deployed Engineer (Houston) role at LangChain.

From the original posting

About Us

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
Travel to customers up to 25% of the time

What You’ll Bring

6+ 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: $200,000–$275,000 USD. Final compensation will depend on experience, skills, and location.

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:

Standard company text repeated across LangChain's postings is omitted here.