Product Software Engineer Jobs at LangChain with Visa Sponsorship
Product Software Engineer roles at LangChain sit at the intersection of developer tooling and AI infrastructure, requiring deep full-stack or backend expertise. LangChain has a track record of sponsoring work visas for this function, making it a realistic target for international engineers on H-1B or E-3.
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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 Team:
The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.
About the Role:
We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.
Location:
In person 5 days/week in San Francisco, CA or New York, NY
What You'll Do:
- Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)
- Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
- Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
- Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
- Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
- Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
- Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests
Example projects you might own
- A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
- A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
- A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake
What You'll Bring:
- 3+ years of experience as a software engineer or infrastructure engineer
- Strong hands-on experience with Python and testing frameworks such as pytest
- Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
- Solid understanding of API testing, mocking/stubbing, and data setup/teardown
- Comfort defining quality standards, writing test plans, and driving cross-team execution
Nice to Have:
- Experience with load and performance testing tools such as k6
- Familiarity with observability tooling such as Datadog or OpenTelemetry
- Experience testing services running on Kubernetes and containerized environments
- Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
- SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
- Familiarity with Go, Node, or React for targeted white-box tests and improving system testability
Compensation & Benefits
- 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: $160,000 - $225,000 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 Team:
The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence.
About the Role:
We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites.
Location:
In person 5 days/week in San Francisco, CA or New York, NY
What You'll Do:
- Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm)
- Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites
- Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates
- Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards
- Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection
- Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems
- Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests
Example projects you might own
- A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants
- A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release
- A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake
What You'll Bring:
- 3+ years of experience as a software engineer or infrastructure engineer
- Strong hands-on experience with Python and testing frameworks such as pytest
- Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability
- Solid understanding of API testing, mocking/stubbing, and data setup/teardown
- Comfort defining quality standards, writing test plans, and driving cross-team execution
Nice to Have:
- Experience with load and performance testing tools such as k6
- Familiarity with observability tooling such as Datadog or OpenTelemetry
- Experience testing services running on Kubernetes and containerized environments
- Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management
- SQL fluency for validating data (Postgres, ClickHouse, BigQuery)
- Familiarity with Go, Node, or React for targeted white-box tests and improving system testability
Compensation & Benefits
- 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: $160,000 - $225,000 USD
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Get Access To All JobsTips for Finding Product Software Engineer Jobs at LangChain Jobs
Frame your portfolio around LLM tooling
LangChain builds developer-facing AI infrastructure, so projects involving LLM orchestration, retrieval-augmented generation, or agent frameworks signal direct relevance. Contributions to open-source AI tooling carry more weight here than general web application portfolios.
Confirm E-3 eligibility before applying
If you hold Australian citizenship, the E-3 visa offers a faster, cap-exempt path for Product Software Engineer roles. Unlike H-1B, there's no lottery, and LangChain has sponsored both types, so clarify your eligibility upfront when corresponding with the recruiting team.
Target roles where product and engineering overlap
LangChain regularly hires engineers who engage directly with developer communities and shape product direction. Emphasizing experience owning features end-to-end, writing technical docs, or working with external API consumers strengthens your fit for their product engineering function specifically.
Time your H-1B application around the lottery window
USCIS opens H-1B registration each March for an October 1 start date. If your offer comes outside that window, negotiate a start date that aligns with cap filing or ask about cap-exempt pathways if LangChain qualifies as a research or nonprofit-adjacent entity.
Get your specialty occupation documentation ready early
LangChain's Product Software Engineer roles typically require a computer science, software engineering, or closely related degree. Gather your official transcripts, credential evaluation if your degree is from outside the U.S., and any publications or open-source contributions before the offer stage so filing isn't delayed.
Use Migrate Mate to find open roles
Filtering for Product Software Engineer positions at LangChain that actively include visa sponsorship is faster with a dedicated tool. Migrate Mate surfaces these roles specifically so you can apply before headcount closes and sponsorship confirmation gets complicated.
Product Software Engineer at LangChain jobs are hiring across the US. Find yours.
Find Product Software Engineer at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Product Software Engineers?
Yes, LangChain has sponsored H-1B visas for Product Software Engineers. The H-1B requires your role to qualify as a specialty occupation, which Product Software Engineer positions in AI infrastructure generally satisfy given the degree requirements involved. Sponsorship is employer-initiated, so confirm willingness early in the recruiting process rather than after an offer is extended.
How do I apply for Product Software Engineer jobs at LangChain?
Applications go through LangChain's careers page. Migrate Mate also lists their open Product Software Engineer roles filtered by visa sponsorship eligibility, which helps you confirm the position is open to international candidates before you invest time in the process. Tailor your application to demonstrate experience with developer tooling, AI frameworks, or API product development, since those map closely to what LangChain's engineering teams build.
Which visa types are commonly used for Product Software Engineer roles at LangChain?
H-1B and E-3 are the two visa types LangChain has sponsored for this role. H-1B is available to all nationalities but subject to an annual lottery, while the E-3 is exclusive to Australian citizens and has no lottery or annual cap. For engineers already in the U.S. on F-1 OPT, LangChain can file an H-1B during the annual March registration window to bridge the transition.
What qualifications does LangChain expect for Product Software Engineer candidates?
LangChain's product engineering roles typically require a bachelor's degree or higher in computer science, software engineering, or a related technical field. Beyond the degree, hands-on experience building developer-facing products, working with LLM APIs, or contributing to open-source projects in the AI ecosystem is consistently valued. Engineers who can move between product thinking and deep technical implementation are a strong fit for how these teams operate.
How do I plan my timeline if I need LangChain to sponsor an H-1B?
USCIS opens H-1B registration each March, with approved petitions taking effect October 1. If you receive an offer and your current status allows you to start before October, negotiate a start date that works within your authorized period. If you're between jobs, the 60-day grace period for H-1B holders gives limited time to secure a new sponsor, so beginning the LangChain interview process before that window closes is important.
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