Related skills
kubernetes ai rag langchain langgraph📋 Description
- Build autonomous, enterprise-grounded agents that complete end-to-end business tasks.
- Use Elastic Stack as the brain and memory for the agentic ecosystem.
- Design and implement agentic workflows with reasoning and tools.
- Ground agents with Retrieval Augmented Generation (RAG) and ESRE.
- Integrate AI models with internal APIs and third-party SaaS tools for autonomous action.
- Ensure scalable cloud infrastructure (AWS, Azure, GCP) for high concurrency.
🎯 Requirements
- 3-5 years of relevant field experience.
- Minimum 1 year building with the Elastic Stack (ESRE, Jina AI, RAG patterns).
- Proven success delivering GenAI projects involving autonomous task completion or complex workflow automation.
- Agentic Frameworks: LangGraph, LangChain, LangSmith for multi-agent systems.
- Expertise with enterprise agentic platforms (Copilot Studio, Agentforce, ServiceNow AI Agents).
- Python or TypeScript for backend logic and agent orchestration.
🎁 Benefits
- Competitive pay based on the work you do.
- Health coverage for you and your family.
- Flexible locations and schedules for many roles.
- Generous vacation days each year.
- Up to $2000 matching for charitable donations.
- Up to 40 hours per year for volunteer projects.
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