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$170,000 – $215,000
Listed on LangChain’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role pairs deep infrastructure engineering with AI agent development, supporting LangChain's enterprise customers through production deployments. You'll architect Kubernetes clusters, design multi-agent systems, and work directly with Fortune 500 teams to translate technical strategy into running systems.
Our summary, not LangChain’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Datadog
- Grafana
- Helm
- Kubernetes
- LangChain
- LangGraph
- Microsoft Azure
- Prometheus
- Python
- Retrieval-Augmented Generation (RAG)
- Terraform
- TypeScript
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What they ask for
Required
- 7+ years in hands-on customer-facing technical roles
- 3+ years designing and deploying production cloud infrastructure
- Strong Kubernetes experience including cluster design and multi-zone deployments
- Infrastructure as Code with Terraform and Helm
- Database systems knowledge including HA and replication
- High-availability and disaster recovery design
- Networking and security fundamentals
- 1+ years building production AI/ML applications or agents
- LLM framework experience for building agents
- State management patterns for agents
- Evaluation framework design and implementation
- Prompt engineering with optimization and A/B testing
- Vector stores and RAG patterns
- Tool integration and API design
- Python or TypeScript proficiency
- Enterprise customer experience
- Technical assessment and audit experience
- Strong communication skills explaining technical concepts
Nice to have
- Founder background or unusual technical path
- CI/CD pipeline experience
- Observability tools experience