LangChain Visa Sponsorship Jobs USA
LangChain is a leading AI infrastructure company building the tools that power modern large language model applications. For visa-sponsored roles in the AI and developer tooling space, LangChain sponsors both H-1B visa and E-3 visas, making it a legitimate target for international candidates in software and machine learning.
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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 Role
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Key Responsibilities
- Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
- Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
- Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
- Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
- Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
Requirements
- 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
- 2+ years of hands-on experience building and shipping production agent systems.
- Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
- Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
- Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
- Comfortable operating across the full spectrum from advisory to embedded delivery.
Nice to Have
- Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
- Experience with trace mining to drive continuous improvement loops.
Location
Remote
Compensation
$150,000-$215,000 base + equity
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 Role
We're looking for a Deployed Engineer to join our Professional Services team, working directly with enterprise customers to build reliable, production agents. You'll translate vague enterprise workflows into concrete software specs and guide engineering teams through the resulting solution, or build it for them. You might spend a week designing a customer's agent architecture, a few weeks co-building their evaluation pipeline, or a quarter embedded inside their team shipping alongside their engineers. You are someone who's built real AI systems for production and can defend the technical tradeoffs within them.
Key Responsibilities
- Advising: Agent architecture design, evaluation strategy review, and best-practice production guidance.
- Building: Co-build with the customer's engineering team across the full Agent Development Lifecycle (ADLC) in outcome-scoped engagements.
- Embedding: Serve as a deployed engineer inside the customer's team for extended engagements, operating as a de facto member of their org to ship agent systems directly.
- Agent Engineering: ADLC end-to-end, architecture design, orchestration patterns, evals, custom conversational UIs, and production deployment.
- Applied AI: Post-training, supervised fine-tuning, harness engineering, trace mining, model selection and evaluation methodology.
Requirements
- 4+ years of software engineering experience with deep expertise in Python. TypeScript/JavaScript a plus.
- 2+ years of hands-on experience building and shipping production agent systems.
- Strong client-facing communication skills, with the ability to confidently articulate architectural decisions to technical stakeholders (engineers, architects, CTOs).
- Strong experience with LangChain/LangGraph/Deep Agents or comparable frameworks, including multi-agent patterns and state management (short and long-term memory).
- Deep familiarity designing and implementing evaluation methodologies for non-deterministic AI systems.
- Comfortable operating across the full spectrum from advisory to embedded delivery.
Nice to Have
- Exposure to dataset curation and post-training techniques (SFT, DPO, RLHF) on open-weight models using tools like Axolotl, Unsloth, Hugging Face transformers, or TRL.
- Experience with trace mining to drive continuous improvement loops.
Location
Remote
Compensation
$150,000-$215,000 base + equity
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.
Job Roles at LangChain
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Get Access To All JobsTips for Finding LangChain Visa Sponsorship Jobs USA
Target roles at the intersection of AI and engineering
LangChain's sponsorship activity centers on technical roles in AI infrastructure and software development. Focus your application on positions where your background in machine learning, backend engineering, or developer tooling directly aligns with the company's core product.
Know which visa fits your background before applying
LangChain sponsors both H-1B and E-3 visas. If you're an Australian citizen, the E-3 is worth prioritizing, no lottery, faster processing. Understanding which pathway applies to you before your first interview shows preparation and saves time for both sides.
Emphasize specialized AI or LLM experience in your application
LangChain builds developer tooling for large language model applications. Candidates with hands-on experience in LLM orchestration, retrieval-augmented generation, or AI agent frameworks are far better positioned than generalist software engineers applying cold.
Be ready to discuss sponsorship early and confidently
LangChain has an active sponsorship track record, but technical hiring moves fast at AI startups. Raise your visa situation early in the recruiter screen so both sides can confirm fit before investing in a full interview loop. Ambiguity here wastes everyone's time.
Look for roles posted through verified sponsoring employers
Not every job listing signals real sponsorship willingness. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, search LangChain directly to see current openings where sponsorship is confirmed, not assumed.
Align your timeline with H-1B cap deadlines if that's your pathway
If you need H-1B sponsorship, LangChain's hiring timeline needs to align with USCIS registration windows in early spring. Start conversations well before the March registration period so your application is employer-ready when the window opens.
Frequently Asked Questions
Does LangChain sponsor H-1B visas?
Yes, LangChain sponsors H-1B visas. The company has an established sponsorship track record across its technical roles, particularly in AI infrastructure and software engineering. If you're pursuing an H-1B with LangChain, keep in mind that cap-subject petitions require registration in the annual lottery each spring, so your hiring timeline needs to account for that window.
What visa types does LangChain sponsor?
LangChain sponsors both H-1B and E-3 visas. The E-3 is available exclusively to Australian citizens and sidesteps the H-1B lottery entirely, making it a strong option for Australian engineers and technical professionals. If you hold Australian citizenship and qualify for the E-3, it's often the faster and more predictable path to working at a company like LangChain.
Which types of roles at LangChain are most likely to receive visa sponsorship?
LangChain's sponsorship activity is concentrated in technical roles, software engineering, machine learning, AI research, and developer relations. Given that the company builds infrastructure for large language model applications, candidates with specialized experience in LLM tooling, AI agent frameworks, or backend systems are the strongest fit. Generalist or non-technical roles are less commonly sponsored at AI startups of this size.
How do I find open visa-sponsored roles at LangChain?
Migrate Mate is the most reliable way to find current openings at LangChain with confirmed sponsorship. You can search the company directly and filter for the visa type that applies to your situation, H-1B or E-3, so you're only looking at roles where sponsorship is verified rather than inferred from a generic job listing.
How do I approach the sponsorship conversation with LangChain recruiters?
Raise your visa requirements at the recruiter screen, not after the final round. At an AI-focused company like LangChain, technical hiring moves quickly and recruiters are accustomed to sponsorship conversations. Come prepared with the basics: which visa you need, whether you're cap-subject, and your earliest available start date. That level of preparation signals seriousness and avoids late-stage surprises.