Топ-возможность в одной из самых влиятельных AI-компаний современности с передовым стеком и очень конкурентной оплатой.
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Текст:
Hirify AI/Оригинал
TL;DR
Deployed Architect, Post-Sales (AI): Designing and deploying production-grade AI infrastructure and agent systems for enterprise customers with an accent on Kubernetes, cloud platforms, infrastructure as code, and multi-agent architectures. Focus on building highly available and secure deployments, evaluating and optimizing agents, and translating complex customer requirements into reliable implementations.
Location: Remote; listed locations are Los Angeles, Denver, Salt Lake City, and Seattle
Company
LangChain builds open-source frameworks and a platform for building, evaluating, deploying, and operating intelligent agents at scale.
What you will do
Design scalable, highly available, and secure infrastructure for enterprise AI platform deployments, including compute, storage, networking, and security.
Architect Kubernetes environments, multi-region high-availability and disaster-recovery strategies, enterprise integrations, and CI/CD pipelines.
Build production multi-agent systems with LangChain and LangGraph, including state management, tool integrations, API design, and error handling.
Design evaluation frameworks, optimize prompts through A/B testing, and guide agent deployment and operations.
Lead technical maturity assessments and infrastructure audits for enterprise customers.
Partner with customers, Engagement Managers, and Product and Engineering teams to define requirements and guide implementation.
Requirements
7+ years in hands-on, technical, customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
3+ years designing and deploying production infrastructure on GCP, AWS, or Azure, with strong Kubernetes experience including cluster design, autoscaling, and multi-zone deployments.
Experience with Terraform, Helm, GitOps, databases, high availability, disaster recovery, networking, security, observability, and CI/CD.
1+ year building production AI/ML applications or agents with LLM frameworks such as LangChain or LangGraph.
Experience with memory patterns, AI evaluation frameworks, prompt optimization and A/B testing, vector stores, RAG, and knowledge organization.
Strong Python and/or TypeScript development skills, enterprise customer experience, and the ability to explain technical concepts to diverse audiences.
Culture & Benefits
Collaborative environment with a strong engineering culture and direct impact on customer success and technical best practices.
Competitive base salary, variable compensation where relevant, meaningful equity, benefits, and perks.
Medical, dental, and vision coverage.
Flexible vacation.
401(k) plan and meals on in-office days in the US.
Locally competitive benefits for team members in the EU, UK, and APAC.
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