Solution Architect

🕒 March 11

🇳🇱 Netherlands – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 64%

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LangChain

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Design, deploy, and optimize production-grade AI infrastructure and agent systems for enterprise customers • Architect scalable and secure infrastructure deployments • Design compute, storage, networking, and security infrastructure for AI platform deployments • Develop enterprise integration patterns, Infrastructure as Code, multi-region HA/DR strategies, and CI/CD pipelines • 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 and infrastructure audits • Work directly with enterprise customers to understand requirements and present recommendations • Partner with Engagement Managers and Product/Engineering teams • Balance infrastructure architecture with agent development to solve real business problems

🎯 Requirements

• 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, security, SSO/RBAC, TLS, secrets management, and observability • Experience with Prometheus, Grafana, or 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 or LangGraph • Experience with short-term and long-term memory state management 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 for explaining technical concepts to diverse audiences • Strong problem-solving skills and ability to analyze complex requirements • Experience working cross-functionally with engineering teams, product teams, and customers • Consultative approach to understanding customer needs, providing recommendations, and guiding implementation • Strong engineering background with hands-on development experience

🏖️ Benefits

• Base salary, variable compensation, meaningful equity, benefits, and perks • Locally competitive benefits aligned with regional norms and regulations for EU, UK, and APAC team members • Medical coverage • Dental coverage • Vision coverage • Flexible vacation • 401(k) plan • Meals on in-office days in the US