Sales Engineer Jobs at LangChain with Visa Sponsorship
Sales Engineer roles at LangChain sit at the intersection of deep technical knowledge and enterprise sales, requiring fluency in LLM-based tooling and developer workflows. LangChain has a track record of sponsoring work visas for technical roles, making it a viable target for H-1B and E-3 holders building a career in AI infrastructure.
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Get Access To All JobsAbout 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(s)
West: San Francisco, Pacific Northwest, Southern California
Central: Austin, Chicago, Denver
East: New York, Atlanta
EMEA: London, Amsterdam
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
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(s)
West: San Francisco, Pacific Northwest, Southern California
Central: Austin, Chicago, Denver
East: New York, Atlanta
EMEA: London, Amsterdam
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
See all 35+ Sales Engineer at LangChain jobs
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Get Access To All JobsTips for Finding Sales Engineer Jobs at LangChain Jobs
Frame your demos around LangChain's stack
LangChain interviews for Sales Engineers heavily test your ability to demo agentic workflows and RAG pipelines. Build a working prototype using LangGraph or LangSmith before your final rounds so your technical credibility is immediately clear.
Request a sponsorship conversation early
LangChain's recruiting team handles visa logistics internally. Raise sponsorship during the offer discussion, not after accepting. Ask specifically whether the role is designated H-1B cap-exempt or cap-subject, since that affects your start timeline.
Search LCA filings to verify active sponsorship
Before investing in interview preparation, search the DOL's OFLC disclosure database for LangChain's recent Labor Condition Applications. Sales Engineer filings confirm the company is actively sponsoring for this specific role, not just engineering-only positions.
Use Migrate Mate to surface open roles efficiently
LangChain posts Sales Engineer openings across multiple channels but not always simultaneously. Use Migrate Mate to track verified visa-sponsoring roles at LangChain in one place so you can apply during active hiring windows, not after headcount closes.
Align your start date to cap and processing realities
H-1B cap petitions can only be filed for an October 1 start, with registration opening in March. If you're between jobs, your 60-day grace period may not bridge that gap. Discuss cap-exempt alternatives or adjusted start dates with your hiring contact before signing.
Sales Engineer at LangChain jobs are hiring across the US. Find yours.
Find Sales Engineer at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Sales Engineers?
Yes, LangChain sponsors H-1B visas for Sales Engineer roles. The role qualifies as a specialty occupation under USCIS guidelines given its requirement for a bachelor's degree or higher in a technical field such as computer science or engineering. Confirm sponsorship intent with the recruiting team during the offer stage, since cap-subject H-1B petitions are tied to the annual October 1 start date.
Which visa types are commonly used for Sales Engineer roles at LangChain?
H-1B is the primary visa type used for Sales Engineer roles at LangChain. Australian citizens can also pursue the E-3 visa, which has no annual lottery and allows two-year renewable periods. Both require an employer-filed Labor Condition Application with the DOL and an I-129 petition submitted to USCIS before you can begin work.
What qualifications or experience are expected for Sales Engineer roles at LangChain?
LangChain typically expects Sales Engineers to have hands-on experience with LLM frameworks, APIs, or developer tooling, alongside a background in enterprise software sales cycles. Familiarity with LangChain's own products, including LangGraph and LangSmith, significantly strengthens your candidacy. A bachelor's degree in computer science, engineering, or a related technical field is standard and also underpins the specialty occupation requirement for H-1B sponsorship.
How do I apply for Sales Engineer jobs at LangChain?
Browse open Sales Engineer positions at LangChain on Migrate Mate, which aggregates verified visa-sponsoring roles and filters by visa type so you can confirm H-1B or E-3 eligibility before applying. When you apply directly, flag your visa sponsorship needs in your cover note. LangChain's recruiting team manages sponsorship discussions during the offer phase, so come prepared with your visa status, degree documentation, and preferred start date.
How do I plan my timeline if I need H-1B sponsorship at LangChain?
H-1B registration opens each March for a lottery drawing, with approved petitions starting October 1. If you receive an offer before March, LangChain can file during that cycle for an October start. If you miss the window, you'll wait for the following year's cap unless the role qualifies for a cap-exempt filing. Factor in USCIS processing times of three to six months for regular processing, or two to four weeks with premium processing.
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