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$170,000 – $300,000
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 brings together infrastructure engineering and AI application development to architect production-grade agent systems for enterprise customers. It suits someone with deep cloud and Kubernetes expertise who also understands LLM frameworks and can work hands-on with customers to translate their needs into robust deployments.
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 customer-facing technical roles such as Solutions Architect or Forward Deployed Engineer
- 3+ years designing and deploying production infrastructure on GCP, AWS, or Azure
- Strong Kubernetes experience including cluster design, autoscaling, and multi-zone deployments
- Infrastructure as Code with Terraform and Helm
- Database systems knowledge including HA, replication, and backup strategies
- High-availability and disaster recovery design experience
- Networking and security fundamentals (SSO, RBAC, TLS, secrets management)
- Observability tools experience (Prometheus, Grafana, or Datadog)
- CI/CD pipeline experience
- 1+ years building production AI/ML applications or agents
- LLM framework experience (LangChain, LangGraph, or similar)
- State management patterns for agents
- Evaluation framework design and implementation
- Prompt engineering and A/B testing optimization
- Vector stores and RAG patterns
- Tool integration and API design
- Python and/or TypeScript proficiency
- Enterprise customer experience
- Enterprise technical assessment or infrastructure audit experience
- Strong communication skills explaining technical concepts to diverse audiences
Nice to have
- Former founder background or unusual technical background with relevant skillsets