Sales Solutions Engineer Jobs at LangChain with Visa Sponsorship
LangChain builds infrastructure for AI-powered applications, and Sales Solutions Engineers here sit at the intersection of deep technical knowledge and enterprise sales. LangChain has sponsored both H-1B and E-3 visas for this function, making it a legitimate target if you need work authorization.
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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 32+ Sales Solutions Engineer at LangChain jobs
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Get Access To All JobsTips for Finding Sales Solutions Engineer Jobs at LangChain Jobs
Frame your demo skills around LangChain's stack
LangChain's enterprise sales team sells developer tooling and AI orchestration infrastructure. Before applying, build hands-on familiarity with LangChain and LangGraph so you can speak to real implementation scenarios, not just sales methodology.
Confirm LCA filings before your interview
Before your final interview rounds, verify that LangChain has filed Labor Condition Applications for Solutions Engineer roles via the DOL's OFLC disclosure database. This tells you the role has a documented sponsorship history and the offer stage won't be a surprise.
Target roles with 'enterprise' or 'strategic' in the title
LangChain's Solutions Engineer roles span inbound technical sales and outbound enterprise deals. Roles aligned to strategic or enterprise accounts are more likely to involve complex, multi-stakeholder deployments where your technical depth justifies visa sponsorship investment from the employer.
Use Migrate Mate to find open sponsorship-eligible roles
Browse Sales Solutions Engineer openings at LangChain filtered by visa type using Migrate Mate. It surfaces roles where sponsorship has been filed before, saving you from applying to positions where immigration support is off the table from the start.
Get your I-129 petition documents ready before the offer
Once LangChain extends an offer, USCIS requires Form I-129 along with your academic credentials and employment verification. Have degree certificates, transcripts, and prior work authorization documents organized in advance so your employer's immigration counsel can move quickly.
Sales Solutions Engineer at LangChain jobs are hiring across the US. Find yours.
Find Sales Solutions Engineer at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Sales Solutions Engineers?
Yes, LangChain has sponsored H-1B visas for Sales Solutions Engineers. The H-1B is a cap-subject visa requiring an annual lottery, with registrations typically opening in March for an October 1 start date. If you're already in H-1B status with another employer, a transfer to LangChain avoids the lottery entirely and can happen much faster.
Which visa types are commonly used for Sales Solutions Engineer roles at LangChain?
LangChain sponsors both H-1B and E-3 visas for this role. The H-1B is available to nationals of any country, while the E-3 is exclusive to Australian citizens and offers a simpler, faster process with no lottery. Both require the role to qualify as a specialty occupation, which a Solutions Engineer position at an AI software company typically satisfies.
How do I apply for Sales Solutions Engineer jobs at LangChain?
Applications go through LangChain's careers page, where Solutions Engineer roles are listed under sales or go-to-market teams. Migrate Mate also indexes LangChain's open roles filtered by visa sponsorship eligibility, so you can confirm the role supports your visa type before applying. Tailor your application to highlight enterprise technical sales experience and hands-on AI or developer tooling knowledge.
What qualifications does LangChain expect for a Sales Solutions Engineer?
LangChain typically looks for experience supporting enterprise software sales cycles with a technical component, familiarity with APIs, LLMs, or developer tooling, and the ability to run product demos and proof-of-concept engagements. A bachelor's degree in computer science, engineering, or a related field strengthens your H-1B or E-3 specialty occupation eligibility, as both visas require a degree directly relevant to the role.
How do I understand the visa sponsorship timeline for a role at LangChain?
The timeline depends on your visa type. E-3 sponsorship can move from offer to visa stamp in four to eight weeks. H-1B sponsorship tied to a new lottery cap slot requires starting the process in March and waiting until October 1 to begin work, though premium processing through USCIS reduces petition adjudication time to around 15 business days. Discuss timing expectations with LangChain's recruiting team early in the process.
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