Product Engineer Jobs at LangChain with Visa Sponsorship
Product Engineer roles at LangChain sit at the intersection of applied AI and developer tooling, requiring deep technical ownership across the full stack. LangChain sponsors visas for this function, making it a viable target if you're an international candidate building toward U.S. work authorization.
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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. 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 Role
We’re hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms.
Key Responsibilities
- Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.
- Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.
- Partner with Deployed Engineering to support critical enterprise customers.
- Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.
- Lead post-mortems for critical incidents and feed learnings back into product and documentation.
- Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.
- Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.
- Mentor and coach other support engineers.
How To Be Successful In This Role
- 4+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).
- Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.
- Programming experience with Python. Bonus if you have TypeScript experience.
- Hands-on knowledge of Kubernetes and Docker.
- Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).
- Experience supporting enterprise customers and collaborating with engineering on complex escalations.
- A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.
- High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented.
Location
: Remote, must be in Central or Eastern time zone
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 salary range: $130,000 - $195,000 USD
About LangChain
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 Role
We’re hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms.
Key Responsibilities
- Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues.
- Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs.
- Partner with Deployed Engineering to support critical enterprise customers.
- Build and refine internal tooling, diagnostics, and runbooks for complex issue triage.
- Lead post-mortems for critical incidents and feed learnings back into product and documentation.
- Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement.
- Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support.
- Mentor and coach other support engineers.
How To Be Successful In This Role
- 4+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms).
- Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks.
- Programming experience with Python. Bonus if you have TypeScript experience.
- Hands-on knowledge of Kubernetes and Docker.
- Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers).
- Experience supporting enterprise customers and collaborating with engineering on complex escalations.
- A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection.
- High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented.
Location
: Remote, must be in Central or Eastern time zone
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 salary range: $130,000 - $195,000 USD
See all 64+ Product Engineer at LangChain jobs
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Get Access To All JobsTips for Finding Product Engineer Jobs at LangChain Jobs
Frame your portfolio around LLM integrations
LangChain's core product is an AI orchestration framework, so portfolio projects that demonstrate hands-on experience with LLM pipelines, retrieval-augmented generation, or agent tooling will resonate far more than general full-stack work.
Target roles with clear specialty occupation language
USCIS requires H-1B positions to qualify as specialty occupations. Look for Product Engineer postings at LangChain that list a specific degree requirement in computer science or engineering, not just a preferred background, to support a stronger petition.
Search open Product Engineer roles on Migrate Mate
Identifying which specific Product Engineer openings at LangChain are actively seeking sponsored candidates narrows your focus. Use Migrate Mate to filter and browse verified sponsorship-eligible roles at LangChain before applying.
Prepare for a technical screen that tests agentic systems depth
LangChain's interview process for Product Engineers typically emphasizes applied AI reasoning. Refreshing your understanding of multi-agent architectures, tool use patterns, and stateful workflows will sharpen your performance before the offer stage.
Product Engineer at LangChain jobs are hiring across the US. Find yours.
Find Product Engineer at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Product Engineers?
Yes, LangChain has a track record of sponsoring H-1B visas for Product Engineer roles. Sponsorship is generally tied to roles with a clearly defined specialty occupation requirement, meaning the job posting should specify a degree in a relevant technical field. If you're in H-1B cap season, confirm your timeline with the hiring team early, since the annual lottery runs in March for an October 1 start date.
How do I apply for Product Engineer jobs at LangChain?
Applications go through LangChain's careers page, where Product Engineer openings are listed with role-specific requirements. You can also find sponsorship-eligible Product Engineer positions at LangChain on Migrate Mate, which filters specifically for roles open to visa holders. Tailoring your application to demonstrate experience with AI developer tooling, LLM frameworks, or orchestration systems will strengthen your candidacy significantly.
Which visa types does LangChain use to sponsor Product Engineers?
LangChain sponsors both H-1B and E-3 visas for Product Engineer roles. The H-1B applies to most nationalities and is subject to the annual 85,000-slot cap and lottery. The E-3 is exclusively available to Australian citizens, carries a separate 10,500-slot annual allocation that has never been exhausted, and can be applied for directly at a U.S. consulate without waiting for a lottery result.
What qualifications does LangChain expect for a sponsored Product Engineer?
LangChain's Product Engineer roles typically require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Practically, postings emphasize experience shipping production-grade AI features, familiarity with LLM APIs, and the ability to work across backend systems and developer-facing interfaces. Candidates with demonstrable contributions to AI tooling or open-source projects in the LangChain ecosystem tend to stand out.
How do I estimate a realistic timeline from offer to visa approval for a Product Engineer role at LangChain?
For an H-1B, count at least three to four weeks for DOL Labor Condition Application certification, then two to six months for standard USCIS processing, or two to three weeks with premium processing. E-3 applicants typically move faster since consular processing in Australia currently runs two to six weeks. Building these windows into your offer negotiation avoids last-minute delays.
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