Solutions Architect

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LangChain

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

🤝 B2B

☁️ SaaS

💰 €25 000 000 Series A en 2024-02

Artificial Intelligence • B2B • SaaS

LangChain est un cadre modulaire conçu pour aider les développeurs tout au long du cycle de vie des applications à base de grands modèles de langage (LLM). Leur suite de produits, comprenant LangGraph et LangSmith, offre des outils pour créer, déployer et gérer des applications capables de raisonner et d'opérer à grande échelle. Avec un accent sur l'efficacité opérationnelle et des performances améliorées, LangChain soutient un large éventail d'industries grâce à ses offres innovantes.

Description

• 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 • 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 • Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams

🎯 Exigences

• 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

🏖️ Avantages

• medical, dental, and vision coverage • flexible vacation • 401(k) plan • life insurance