
11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 $25M Series A on 2024-02
Artificial Intelligence • B2B • SaaS
LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.
🕒 March 11
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11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
💰 $25M Series A on 2024-02
Artificial Intelligence • B2B • SaaS
LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.
• Design scalable, highly available infrastructure for AI platform deployments, including compute, storage, networking, and security • Design enterprise integration patterns and multi-region HA/DR strategies • Implement Infrastructure as Code using Terraform and Helm • Develop CI/CD pipelines for infrastructure and applications • Design multi-agent systems using different patterns • Implement agent logic using LangChain, LangGraph, or similar frameworks • Design comprehensive evaluation frameworks for AI applications • Optimize prompts using A/B testing • Guide agent deployment and operations • Lead technical maturity assessments • Work directly with enterprise customers to understand requirements and present recommendations • Partner with Engagement Managers and Product/Engineering teams • Design, deploy, and optimize production-grade AI infrastructure and agent systems • Build reliable, well-evaluated agent applications solving business problems
• 7+ years of experience in technical, hands-on 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 • Experience with Infrastructure as Code using Terraform and Helm • Experience with GitOps practices • Knowledge of relational databases and in-memory data stores, including HA, replication, backup strategies, and sizing • Experience designing high-availability and disaster recovery solutions • Strong understanding of networking and security, including SSO/RBAC, TLS, and secrets management • Knowledge of observability tools including Prometheus, Grafana, and Datadog • Experience with CI/CD pipelines for infrastructure and applications • 1+ years of experience building production AI/ML applications or agents • Strong experience with LLM frameworks such as LangChain and LangGraph • Experience with short-term and long-term memory patterns • Experience designing and implementing evaluation frameworks for AI applications • Strong prompt engineering skills, including 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 experience with enterprise customers • Experience conducting technical assessments or infrastructure audits • Strong communication skills with ability to explain technical concepts to diverse audiences • Ability to analyze complex requirements and design solutions • Experience working cross-functionally with engineering teams, product teams, and customers • Consultative approach to understanding customer needs, providing recommendations, and guiding implementation • Ability to balance infrastructure architecture with agent development work • Strong engineering background with hands-on development experience
• Medical coverage • Dental coverage • Vision coverage • Flexible vacation • 401(k) plan • Meals on in-office days in the US • Meaningful equity • Variable compensation for relevant roles • Benefits and perks • Locally competitive benefits for team members in the EU, UK, and APAC aligned with regional norms and regulations
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