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FDE jobs at LangChain

Open-source and commercial platform for building, evaluating, deploying, and operating AI agents at scale.

Growth (Series B–C) · About 201–1,000 people · AI Infra

21 postings12 metrosmedian of posted base ranges $220,000

Updated

Postings read on

How LangChain describes FDE work

LangChain · US average

Pre-sales

Evaluation or proposal work before a deal

52% · avg 25%

Well above average

Production code

Postings that involve writing production code

100% · avg 80%

Well above average

Travel

How often postings mention travel

57% · avg 41%

Well above average

Customer contact

Work done for people outside the company

100% · avg 86%

Above average

Remote

Postings that allow remote work

35% · avg 28%

Above average

Seniority

Senior-level responsibility or above

100% · avg 94%

Above average

0%50%100%

LangChain’s postings involve pre-sales more often than the US average (52% vs 25%) and describe production code more often (100% vs 80%).

Shares leave out postings that say nothing about a measure. Travel counts silence as no mention. Compare with all US FDE postings and read the method →

Pay at LangChain

Across 21 posted ranges, LangChain’s median sits above $189,000 for senior FDE postings in the US.

Posted base ranges in annual US dollars, from postings that state both ends, each counted at the middle of its range. Bonus, commission and equity are not counted. See how posted pay differs by level, location and travel →

Builds for teams inside the company

GTM Engineer

New York, NY · San Francisco, CANew York, NY +1

$160,000–$180,000

2 postings

10 of 21 build what the customer runs.

Compare these roles with pay ranges at other US FDE employers.

LangChain's deployed engineering roles combine customer delivery with agent observability, evaluation, deployment, and infrastructure.

LangChain postings use titles such as Deployed Engineer, Deployed Architect, Lead Applied AI Engineer, and GTM Engineer. They cover professional services, city-specific delivery, federal work, early-career roles, and technical pre-sales. Read the customer and team context because the balance of coding and advisory work varies.

The product context includes LangSmith observability and evaluation, deployment, sandboxes, and agent infrastructure. Useful preparation includes debugging, evaluation design, API integration, and explaining technical choices to customers. Current postings mix remote, hybrid, and on-site arrangements across multiple metros.

Some listings label ranges as OTE while others show a base range. Compare like with like. Confirm travel, remote-country or metro limits, and the team's production and product responsibilities. See FDE role types.

Employer postings · How we read postings

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Browse other US jobs by location and work →Hiring FDEs? Talk to Nextmove →