Architectural Engineer Jobs at LangChain with Visa Sponsorship
LangChain builds developer tooling and AI infrastructure, so Architectural Engineer roles here sit at the intersection of distributed systems design and applied machine learning. The company has sponsored both H-1B and E-3 visas for technical roles, making it a realistic target if you're building a sponsorship-focused job search in the AI software space.
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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 40+ Architectural Engineer at LangChain jobs
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Get Access To All JobsTips for Finding Architectural Engineer Jobs at LangChain Jobs
Align your portfolio to LangChain's stack
LangChain's Architectural Engineer roles center on distributed systems, LLM orchestration, and API design. Before applying, rebuild or reframe past projects to reflect those areas specifically. Generic systems architecture experience reads as a weak signal to their hiring team.
Confirm E-3 eligibility before your first interview
If you hold Australian citizenship, the E-3 visa skips the H-1B lottery entirely and allows year-round filing. Verifying this early lets you frame your sponsorship ask as lower-friction for a company like LangChain, which has used both pathways for technical hires.
Request a specialty occupation letter from your current role
USCIS requires H-1B petitions to demonstrate the role qualifies as a specialty occupation. Get a formal letter from your current employer documenting that your position required a specific degree field, not just any bachelor's degree. This documentation speeds LangChain's attorney review considerably.
Target LangChain's open roles through Migrate Mate
LangChain posts Architectural Engineer openings across multiple channels, but filtering specifically for visa-sponsoring AI companies saves significant time. Use Migrate Mate to browse verified sponsoring employers in the AI software sector and find active roles before they close.
Front-load your technical screen with systems depth
LangChain's engineering interviews assess distributed systems design at an advanced level. Coming in with concrete examples of latency optimization, service decomposition, or event-driven architecture in production environments is what moves candidates past the initial screen in AI infrastructure companies.
Clarify the LCA timeline during offer negotiation
Your start date depends on the Department of Labor certifying a Labor Condition Application before USCIS can receive the I-129 petition. When you receive an offer, ask LangChain's legal team how far in advance they typically initiate the DOL filing to avoid a delayed start date.
Architectural Engineer at LangChain jobs are hiring across the US. Find yours.
Find Architectural Engineer at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Architectural Engineers?
Yes, LangChain has sponsored H-1B visas for Architectural Engineer roles. Because Architectural Engineering qualifies as a specialty occupation under USCIS criteria, LangChain can file an H-1B petition on your behalf once you clear their hiring process. If you're subject to the annual H-1B lottery, timing your application around the April 1 filing window is essential. Australian citizens can bypass the lottery entirely using the E-3 visa, which LangChain has also sponsored.
How do I apply for Architectural Engineer jobs at LangChain?
Start by browsing active Architectural Engineer openings on LangChain's careers page or through Migrate Mate, which filters specifically for employers with a visa sponsorship track record in the AI software space. Tailor your resume to reflect distributed systems design and LLM infrastructure experience, since those are the technical signals LangChain's engineering team looks for. Once you apply, expect a recruiter screen followed by technical rounds focused on systems architecture and design at scale.
Which visa types are commonly used for Architectural Engineer roles at LangChain?
LangChain has used both the H-1B and E-3 visa for technical roles including Architectural Engineers. The H-1B is the most common pathway for non-Australian nationals and requires USCIS approval plus, in most cases, selection in the annual lottery. The E-3 is exclusive to Australian citizens, has a separate annual allocation that has never been exhausted, and can be filed at any time of year, making it a more predictable option when eligible.
What qualifications does LangChain expect for Architectural Engineer roles?
LangChain's Architectural Engineer positions typically require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Beyond the credential, the team prioritizes deep experience in distributed systems, cloud-native architecture, and ideally some exposure to AI or LLM infrastructure. Candidates who can demonstrate production-level ownership of large-scale system design, not just familiarity with patterns, tend to move further in the process.
How do I understand the H-1B filing timeline if LangChain extends an offer?
The H-1B process involves two sequential government agencies. LangChain's attorney first files a Labor Condition Application with the DOL, which typically takes one to two weeks to certify. The I-129 petition then goes to USCIS, with standard processing running several months or faster with premium processing. If you're a new H-1B beneficiary, employment can only begin on October 1 of the cap year, so offers extended in spring may have a built-in wait before your start date.
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