Solution Architect

🕒 il y a 7 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

🔴 Expert

💻 Ingénieur Solutions

👻 Score fantôme 69%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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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, 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

🎯 Exigences

• 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

🏖️ Avantages

• 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