Software Engineer Jobs at LangChain with Visa Sponsorship
Software Engineer jobs at LangChain sit at the intersection of open-source infrastructure and production-grade AI systems, as the company builds the tooling that powers AI applications. The company has an established track record of sponsoring work visas for engineering talent, making it a realistic target for international candidates.
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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.
About The Team
The Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you.
About The Role
We’re hiring fullstack Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product. In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain’s mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI. This role will be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
What You Will Do
- Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.
- Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.
- Translate emerging AI research and tooling into practical, production-ready solutions.
- Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.
- Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.
- Contribute to the LangChain and LangGraph ecosystem, including open source components, documentation, and shared tools.
What You Will Bring
- Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).
- Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
- Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
- Strong coding skills in Python or TypeScript (ideally both).
- Excellent communicator who can simplify complex technical ideas for diverse audiences.
- Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.
- Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.
Nice To Haves
- Expertise with LangChain or LangGraph.
- Experience building or maintaining open source projects.
- Background in applied AI research or agentic workflow development.
- Based in San Francisco (preferred), NYC, or Boston.
Compensation
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
Annual Salary Range: $165,000 - $190,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
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. 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.
About The Team
The Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you.
About The Role
We’re hiring fullstack Applied AI Engineers to help us build AI agents that power every part of LangChain from Marketing and GTM to Recruiting, Support, Internal Tools, and our Core Product. In this role you will own a problem space and work closely with that function to design, build, and deploy production-grade agents, workflows, and applications that transform how we operate. Your work will directly accelerate LangChain’s mission to make intelligent, autonomous software a reality both internally and for our customers. Some of these projects will be open source, contributing to the LangChain and LangGraph ecosystem and setting new standards for how companies build with AI. This role will be based in our San Francisco or New York office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements.
What You Will Do
- Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains.
- Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes.
- Translate emerging AI research and tooling into practical, production-ready solutions.
- Communicate technical decisions, trade-offs, and insights clearly to both technical and non-technical stakeholders.
- Collaborate cross-functionally embedding with teams like Marketing, GTM, Recruiting, or Product to identify opportunities for agent-driven automation and measurable business impact.
- Contribute to the LangChain and LangGraph ecosystem, including open source components, documentation, and shared tools.
What You Will Bring
- Experienced software engineer with a strong track record shipping AI or ML-powered applications (typically 3+ years, including at least 1 year building LLM systems in production).
- Hands-on experience implementing evaluation and monitoring systems for agents or workflows.
- Deep understanding of the components that make up an AI system: prompting, retrieval, orchestration, inference APIs, and model selection across modalities.
- Strong coding skills in Python or TypeScript (ideally both).
- Excellent communicator who can simplify complex technical ideas for diverse audiences.
- Thrives in a fast-moving, ambiguous startup environment; enjoys identifying the highest-impact problems and driving them to completion.
- Naturally curious and motivated to learn new tools, frameworks, and approaches in applied AI.
Nice To Haves
- Expertise with LangChain or LangGraph.
- Experience building or maintaining open source projects.
- Background in applied AI research or agentic workflow development.
- Based in San Francisco (preferred), NYC, or Boston.
Compensation
We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
Annual Salary Range: $165,000 - $190,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
See all Software Engineer Jobs at LangChain
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer Jobs at LangChain.
Get Access To All JobsTips for Finding Software Engineer Jobs at LangChain
Align your experience with LangChain's stack
LangChain's engineering work centers on LLM orchestration, retrieval-augmented generation, and developer tooling. Contributions to open-source AI libraries or published work with LangChain or LangGraph signal genuine fit before your resume lands in any applicant tracking system.
Target roles that match your visa category
H-1B and E-3 both require a specialty occupation tied directly to your degree field. Software Engineer roles at an AI infrastructure company satisfy that standard clearly, but your degree discipline needs to align with the specific engineering function in the job description.
Confirm sponsorship intent before final interviews
Ask directly during the recruiter screen whether the role is open to H-1B or E-3 sponsorship. Companies in the Technology and Software sector vary by team and headcount stage, and knowing early prevents wasted time on both sides.
Prepare for LCA timing before your offer closes
Your employer must file a certified Labor Condition Application with the DOL before USCIS can process your H-1B or E-3 petition. LCA certification typically takes seven business days, so factor that into your start-date negotiation once an offer is extended.
Use Migrate Mate to surface active openings
Software Engineer openings at AI-focused companies fill quickly and aren't always posted broadly. Browse LangChain's current visa-sponsoring roles on Migrate Mate, which filters specifically for positions open to international candidates.
Plan your I-94 status carefully if changing jobs
If you're already in the U.S. on an H-1B with another employer, you can begin work at LangChain once USCIS receives the transfer petition, not when it's approved. Filing before your current job ends protects your status under portability rules.
Frequently Asked Questions
Does LangChain sponsor H-1B visas for Software Engineers?
Yes, LangChain sponsors H-1B visas for Software Engineer roles. As an AI infrastructure company operating in a highly specialized technical space, Software Engineer positions at LangChain fit the specialty occupation standard that H-1B requires. Sponsorship is handled through standard employer petition filings with USCIS, including the Labor Condition Application submitted to the DOL before the petition can proceed.
How do I apply for Software Engineer jobs at LangChain?
You can find LangChain's active Software Engineer openings filtered for visa sponsorship on Migrate Mate, which surfaces roles specifically open to international candidates. Once you identify a relevant position, apply directly through LangChain's careers portal. Tailor your application to reflect experience with LLM frameworks, developer tooling, or open-source contributions, as those map closely to how LangChain's engineering teams are structured.
Which visa types does LangChain sponsor for Software Engineer roles?
LangChain sponsors both H-1B and E-3 visas for Software Engineer positions. The H-1B is open to candidates from any country and requires a bachelor's degree or higher in a relevant field such as computer science or software engineering. The E-3 is available exclusively to Australian citizens and follows a similar specialty occupation standard, with no lottery requirement and renewable two-year terms.
What qualifications are expected for Software Engineer roles at LangChain?
LangChain's engineering roles typically require a strong foundation in Python, familiarity with LLM APIs or orchestration frameworks, and experience building or maintaining production systems. Given the company's open-source focus, demonstrated contributions to relevant projects carry significant weight. A bachelor's degree in computer science or a closely related field is generally expected to satisfy the specialty occupation requirement for visa sponsorship purposes.
How do I think about timing when pursuing an H-1B role at LangChain?
If you need a new H-1B cap-subject petition, the annual lottery opens in March for an October 1 start date. Candidates already holding H-1B status from another employer can transfer to LangChain at any point in the year. E-3 holders can also transfer without waiting for a new cap cycle. Building your pipeline with LangChain well before lottery registration in March gives you time to align references, technical assessments, and offer timelines.