LangChain
Software Engineer, Agent Systems (GTM Engineering)
San Francisco, CA
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$131 more — $165,131 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $165,131 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- You'll work across Python 3.11, FastAPI, LangGraph, DeepAgents, LangSmith, Supabase Postgres, BigQuery, Anthropic and OpenAI models, and Slack and Next.js surfaces.
- Monitor production health across every graph, catching errors, slow runs, expensive runs, and silent failures before reps report them
- Triage incoming issues from Slack, tickets, and rep reports, fixing small things directly and routing the rest to the right owner
Responsibilities
- Build the business metrics that show leadership what the agent is worth, from reply rates and meetings booked to hours reclaimed and ROI
Skills
- Clear writing skills, and interest in publishing what you learn
Compensation
- 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.
- $165,000 - $220,000
- Compensation Philosophy:
Benefits
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
- We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
- Track usage and adoption per rep and per feature, and own the weekly health report the team runs on
- Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Company info
- 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.
- GTM Engineering builds the AI agents, systems, and automation that power how our go-to-market teams work.
- We partner across Sales, Marketing, Customer Success, Support, and other GTM functions to identify high-leverage problems and build solutions that improve speed, quality, and scale.
- Our work spans four core areas:
- Identify - find high-leverage GTM workflows where AI can meaningfully improve how we operate
- Build - design, build, and deploy production AI agents and automated workflows across GTM
- Enable - drive adoption through thoughtful rollouts, playbooks, best practices, and ongoing enablement
- Evangelize - share what we build and learn externally through content, demos, talks, and open source examples
- 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.
This listing is sourced directly from LangChain's careers page and normalized into a canonical job model.