Related skills
aws kubernetes rag langchain llamaindexπ Description
- Build infra for AI-powered workflows enabling automation
- Create tooling to turn subject matter experts into automation engineers
- Develop AI safeguards and security to monitor usage
- Deliver production-grade AI infra for internal agents
- Own deployment infrastructure for agents across the org
- Work on the AI Platform to impact logistics at scale
π― Requirements
- β₯3 years software engineering experience
- Production LLM applications experience
- Full-stack: Kubernetes/AWS; backend for LLMs
- Frontend capabilities when needed
- Deep LLM experience: agent patterns, MCP, RAG
- LangChain or LlamaIndex experience
π Benefits
- Autonomy to own end-to-end projects
- Work with cutting-edge AI agents in production
- Early exposure to enterprise AI patterns
- Opportunity to influence industry standards
- Collaborative, diverse team culture
- Hands-on learning in MCP, RAG, LangChain
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