Technical Solutions Engineer Jobs at LangChain with Visa Sponsorship
Technical Solutions Engineer roles at LangChain sit at the intersection of LLM infrastructure and enterprise customer success, requiring hands-on experience with AI application development. LangChain has sponsored H-1B and E-3 visas for this function, making it a viable target for international candidates with the right technical background.
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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 37+ Technical Solutions Engineer at LangChain jobs
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Get Access To All JobsTips for Finding Technical Solutions Engineer Jobs at LangChain Jobs
Build a portfolio around LangChain's core stack
LangChain hires Technical Solutions Engineers who can demonstrate real LangGraph, LangSmith, and RAG pipeline experience before the interview. Publish projects on GitHub that solve production-grade AI orchestration problems, not toy chatbot demos.
Identify whether your role qualifies as specialty occupation
USCIS evaluates H-1B eligibility based on whether the position requires a specific bachelor's degree in a directly related field. For Technical Solutions Engineer roles at AI infrastructure companies, a degree in computer science or software engineering is the clearest fit.
Target LangChain's enterprise and solutions-facing teams
LangChain's Technical Solutions Engineers typically support enterprise customers deploying agents at scale. Applying to roles tagged with customer engineering or solutions architecture signals you understand the post-sales, implementation-heavy scope that distinguishes this function from pure software engineering.
Confirm visa support before accepting any offer
Once LangChain extends an offer, confirm in writing which visa category they'll sponsor, who their immigration counsel is, and whether they cover H-1B filing fees. DOL-certified Labor Condition Application timelines affect your start date, so clarify this before signing.
Use Migrate Mate to filter verified sponsoring employers
Filtering by visa type when searching for Technical Solutions Engineer roles saves significant time. Use Migrate Mate to surface LangChain openings and other AI infrastructure companies with a documented H-1B or E-3 sponsorship track record in this specific function.
Prepare your credentials for LCA wage level scrutiny
The DOL's prevailing wage determination for Technical Solutions Engineers at AI companies often lands at wage level III or IV. Have your transcripts, employment history, and any vendor certifications ready to support the wage tier your employer selects on the LCA.
Technical Solutions Engineer at LangChain jobs are hiring across the US. Find yours.
Find Technical Solutions Engineer at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Technical Solutions Engineers?
Yes, LangChain has a track record of sponsoring H-1B visas for Technical Solutions Engineers. The process requires your employer to file a Labor Condition Application with the DOL and then submit an H-1B petition to USCIS on your behalf. Because H-1B has an annual cap and lottery, timing your job search to align with the April filing window matters significantly.
Which visa types are commonly used for Technical Solutions Engineer roles at LangChain?
LangChain sponsors both H-1B and E-3 visas for Technical Solutions Engineers. The E-3 is available exclusively to Australian citizens and offers a simpler, faster process with no lottery. H-1B covers all other nationalities but is subject to annual cap limits. In either case, the role must qualify as a specialty occupation requiring a directly related bachelor's degree or higher.
What qualifications are expected for Technical Solutions Engineer roles at LangChain?
LangChain typically looks for hands-on experience with large language model frameworks, API integration, and enterprise software deployment. Familiarity with LangChain's own tooling, including LangGraph and LangSmith, is a strong differentiator. A background in computer science, software engineering, or a closely related field supports the specialty occupation determination USCIS requires for H-1B sponsorship.
How do I apply for Technical Solutions Engineer jobs at LangChain?
Search for open Technical Solutions Engineer positions through Migrate Mate, which filters verified sponsoring employers and surfaces active LangChain openings. Apply directly through LangChain's careers portal with a resume that highlights AI infrastructure projects, enterprise customer-facing experience, and relevant technical skills. Mentioning your visa status early in outreach avoids late-stage surprises for both sides.
How do I plan my timeline for H-1B sponsorship at LangChain?
The H-1B cap-subject lottery opens each April for an October 1 start date, so you'd ideally secure your offer by February or March to give your employer time to register. If you're on OPT or a STEM OPT extension, confirm your remaining authorized period covers the gap. USCIS premium processing is available and reduces the petition adjudication window to around 15 business days.
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