Technical Sales Engineer Jobs at LangChain with Visa Sponsorship
Technical Sales Engineer roles at LangChain sit at the intersection of AI infrastructure and enterprise sales, requiring deep fluency in LLM frameworks and developer tooling. LangChain has a demonstrated track record of sponsoring work visas for technical roles, making it a realistic target for qualified international candidates.
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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 34+ Technical Sales Engineer at LangChain jobs
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Get Access To All JobsTips for Finding Technical Sales Engineer Jobs at LangChain Jobs
Frame your LLM experience in technical sales terms
LangChain hires Technical Sales Engineers who can demo complex agent workflows to enterprise buyers. Document hands-on experience with LangChain, LangGraph, or RAG pipelines in your resume before applying, not after receiving interest.
Target LangChain's enterprise and solutions engineering openings
LangChain's Technical Sales Engineer postings often appear under solutions engineering or pre-sales titles. Search both variations when scanning their careers page, since role titles shift depending on which product line the team is hiring for.
Confirm H-1B or E-3 eligibility before your first interview
LangChain sponsors both H-1B and E-3 visas for technical roles. If you're Australian, the E-3 avoids the lottery entirely, letting you start after any approved petition. Verify your current status allows a change or transfer before the offer stage.
Prepare your specialty occupation evidence early
USCIS requires Technical Sales Engineer petitions to demonstrate the role meets specialty occupation standards. Gather job descriptions referencing specific degree requirements, plus any published technical writing, certifications, or architecture diagrams that show the specialized nature of your work.
Use Migrate Mate to surface active LangChain sponsorship roles
Confirmed sponsorship postings at LangChain move quickly. Use Migrate Mate to filter Technical Sales Engineer openings by visa type so you're applying to roles where sponsorship is already confirmed, not guessing from generic job board listings.
Align your offer timing with H-1B cap deadlines
If you need a new H-1B, USCIS registration opens in March for an October 1 start. Work backward from that window when negotiating your start date with LangChain, so both sides understand the realistic onboarding timeline.
Technical Sales Engineer at LangChain jobs are hiring across the US. Find yours.
Find Technical Sales Engineer at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Technical Sales Engineers?
Yes, LangChain sponsors H-1B visas for Technical Sales Engineer roles. Because the position requires specialized knowledge of AI frameworks and enterprise software architecture, it generally meets USCIS specialty occupation criteria. If you're subject to the H-1B cap, your employer will need to register you in the annual March lottery before filing a full petition.
Which visa types are commonly used for Technical Sales Engineer roles at LangChain?
LangChain sponsors both H-1B and E-3 visas for Technical Sales Engineers. Australian citizens benefit most from the E-3 path, which has no lottery, no annual numerical limit in practice, and allows two-year renewable periods. Candidates already holding L-1 or O-1 status may also transfer into a Technical Sales Engineer role, though LangChain would need to file a new petition.
How do I apply for Technical Sales Engineer jobs at LangChain?
Apply directly through LangChain's careers page or find confirmed sponsorship openings through Migrate Mate, which filters roles by visa type. Tailor your application to demonstrate hands-on experience with LangChain's tooling, including LangGraph or LangSmith, and highlight any enterprise pre-sales or solutions engineering background. Technical screen rounds typically test your ability to architect and explain LLM-based workflows to non-technical buyers.
What qualifications does LangChain look for in a Technical Sales Engineer?
LangChain generally expects a bachelor's degree in computer science, engineering, or a related technical field, combined with pre-sales or solutions engineering experience at a developer tooling or AI company. Practical familiarity with LangChain's open-source ecosystem, the ability to run live demos with enterprise customers, and experience scoping technical integrations are all differentiating factors in their hiring process.
How do I understand the timeline for getting visa sponsorship through LangChain?
Timeline depends heavily on visa type. E-3 applicants can move from offer to consular interview in four to eight weeks if the Labor Condition Application is filed promptly with DOL. H-1B transfers for candidates already in H-1B status can also move quickly under portability rules. New H-1B cap cases require winning the March lottery and waiting for an October 1 start date, so a full year of lead time is realistic for that path.
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