Solution Engineer Jobs at LangChain with Visa Sponsorship
Solution Engineer jobs at LangChain sit at the intersection of AI infrastructure and enterprise software, requiring both deep technical fluency and customer-facing credibility. LangChain has sponsored work visas for this function and is structured to support international candidates through the process.
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We're looking for a Solutions Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
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.
Key Responsibilities
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
Required Experience
What We're Looking For
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
Key Attributes
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
Location: New York City
Compensation:
- 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.
- $170K to $190K
About The Role
We're looking for a Solutions Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
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.
Key Responsibilities
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
Required Experience
What We're Looking For
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
Key Attributes
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
Location: New York City
Compensation:
- 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.
- $170K to $190K
See all Solution Engineer Jobs at LangChain
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Get Access To All JobsTips for Finding Solution Engineer Jobs at LangChain
Align your background with LangChain's technical stack
Solution Engineer roles at LangChain expect hands-on experience with LLM frameworks, RAG pipelines, and enterprise API integrations. Before applying, prepare examples of deploying AI agents or orchestration workflows in production environments, not just prototype-level projects.
Verify your visa category fits the role
LangChain sponsors both H-1B and E-3 visas for this function. If you're an Australian citizen, the E-3 has no lottery and allows year-round applications, making it a more predictable path than waiting on H-1B selection.
Time your application around the H-1B registration window
USCIS opens H-1B registration in March each year. If you're targeting a start date that requires cap-subject H-1B sponsorship, begin outreach to LangChain's recruiting team in Q4 the year prior to leave room for offer finalization before registration closes.
Prepare a technical demo before your final interview rounds
LangChain's interview process for Solution Engineers typically includes a technical evaluation where candidates demonstrate product fluency. Building a working demo using LangChain's open-source tooling before your final rounds signals genuine expertise and reduces concerns about ramp-up time for sponsored hires.
Confirm the employer's LCA filing process upfront
Before accepting an offer, ask LangChain's recruiting or HR team whether they work with external immigration counsel. Your employer must file a Labor Condition Application with the DOL before USCIS can process your H-1B or E-3 petition, and delays here directly affect your start date.
Search LangChain's open Solution Engineer roles on Migrate Mate
Use Migrate Mate to filter Solution Engineer openings at LangChain by visa type so you're only reviewing roles where sponsorship is confirmed. This saves time during outreach and lets you focus your preparation on positions that match your specific visa situation.
Frequently Asked Questions
Does LangChain sponsor H-1B visas for Solution Engineers?
Yes, LangChain sponsors H-1B visas for Solution Engineer roles. Cap-subject H-1B petitions are tied to USCIS's annual lottery, with registration opening each March for an October 1 start date. If you're already in H-1B status with another employer, a transfer is possible without waiting on the lottery, which can significantly simplify the transition.
Which visa types are commonly used for Solution Engineer roles at LangChain?
LangChain sponsors both H-1B and E-3 visas for Solution Engineer positions. The H-1B is the most common path for non-Australian nationals, while Australian citizens can use the E-3, which has a dedicated annual allocation that has never been exhausted. Both categories classify Solution Engineer as a specialty occupation requiring a relevant bachelor's degree or equivalent.
What qualifications or experience are expected for Solution Engineer roles at LangChain?
LangChain's Solution Engineer roles typically require a technical background in software engineering, AI, or machine learning combined with customer-facing experience. Hands-on familiarity with LLM frameworks, API integrations, and enterprise deployment patterns is central to the role. A bachelor's degree in computer science, engineering, or a closely related field is the standard academic baseline for visa sponsorship eligibility.
How do I apply for Solution Engineer jobs at LangChain?
You can find open Solution Engineer positions at LangChain through Migrate Mate, which filters specifically for roles where visa sponsorship is available. Apply directly through LangChain's careers page and make your visa status clear in your application or initial recruiter screen. LangChain's interview process for this role typically includes an initial recruiter call, a technical evaluation, and a final round with the go-to-market team.
How do I navigate the visa filing timeline after receiving an offer from LangChain?
Once you have an offer, LangChain's HR or immigration counsel will initiate a Labor Condition Application with the DOL before filing your petition with USCIS. For H-1B cap-subject cases, the full timeline from registration to approved status can span six to nine months. E-3 applicants can move faster since the visa is processed at a U.S. consulate, often within two to four weeks of filing.