Base Salary
$170k - $190k/yr
Responsibilities
- Design scalable, highly available AI platform infrastructure covering compute, storage, networking, security, enterprise integrations, Infrastructure as Code, multi-region high availability/disaster recovery, and delivery pipelines.
- Design multi-agent systems, implement agent logic with LangChain and LangGraph, create evaluation frameworks, optimize prompts through A/B testing, and guide deployment and operations.
- Lead technical maturity assessments, understand enterprise customer requirements, present recommendations, and partner with Engagement Managers and Product and Engineering teams.
- Balance infrastructure architecture and agent development while guiding customer implementations and shaping technical best practices.
Requirements
- 7+ years of experience in hands-on technical customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
- 3+ years of experience designing and deploying production infrastructure on GCP, AWS, or Azure.
- Strong Kubernetes experience, including cluster design, autoscaling, and multi-zone deployments, with GKE, EKS, or AKS.
- Experience with Terraform, Helm, GitOps practices, high-availability and disaster recovery solutions, databases, networking, security, observability, and CI/CD pipelines.
- At least 1 year of experience building production AI/ML applications or agents.
- Strong experience with LangChain, LangGraph, or similar LLM frameworks; evaluation frameworks; prompt optimization and A/B testing; vector stores; RAG patterns; tool integration; API design; and error handling.
- Strong Python and/or TypeScript development skills.
- Enterprise customer-facing experience, technical assessments or infrastructure audits, and the ability to explain technical concepts to diverse audiences.
- Strong problem-solving, cross-functional collaboration, consultative communication, and hands-on engineering skills are required.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation, a 401(k) plan, and meals on in-office days in the US.
- The role is based in Dallas, Texas.
Tech Stack
Categories
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. What began as widely adopted open-source tools has grown into a platform for building, evaluating, deploying, and operating agents at scale. LangChain provides the agent engineering platform and open source frameworks developers need to ship reliable agents fast. LangSmith offers observability, evaluation, and deployment for rapid iteration. Our open source frameworks, LangGraph, LangChain, and Deep Agents, help developers build agents with speed and granular control. LangSmith is trusted by leading AI teams at Zip, Vanta, Klarna, Workday, Linkedin, Cloudflare, and more.