Solutions Architect

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LangChain

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

💰 $25.000.000 Series A em 2024-02

Artificial Intelligence • B2B • SaaS

LangChain é um framework componível projetado para auxiliar desenvolvedores em todo o ciclo de vida de aplicações com Large Language Models (LLMs). Sua suíte de produtos, incluindo LangGraph e LangSmith, oferece ferramentas para criar, implantar e gerenciar aplicações capazes de raciocinar e operar em escala. Com foco em eficiência operacional e desempenho aprimorado, a LangChain atende a uma ampla variedade de setores por meio de soluções inovadoras.

Descrição

• work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. • architect scalable, secure infrastructure deployments and build reliable, well-evaluated agent applications that solve real business problems. • lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams.

🎯 Requisitos

• 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. • 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 • 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 experience with enterprise customers • Experience conducting technical assessments or infrastructure audits • Strong communication skills with ability to explain technical concepts to diverse audiences

🏖️ Benefícios

• medical, dental, and vision coverage • flexible vacation • a 401(k) plan • meals on in-office days in the US and more.