Related skills
kubernetes ai rag langchain langgraph📋 Description
- Invent and implement agentic workflows to automate end-to-end business processes.
- Apply RAG and ESRE to ground agents in enterprise knowledge.
- Develop and fine-tune LLMs; integrate with internal APIs and SaaS tools.
- Design cloud infra (AWS/Azure/GCP) for high-concurrency agents.
- Oversee training, deployment, and performance; ensure security and compliance.
- Provide technical leadership on Elastic Stack and AI-driven productivity.
🎯 Requirements
- 3-5 years of relevant field experience.
- At least 1 year building with Elastic Stack; ESRE, Jina AI, and RAG.
- Proven GenAI projects delivering autonomous task or complex workflow automation.
- Agentic Frameworks: LangGraph, LangChain, and LangSmith.
- Enterprise agentic/workflow platforms (Copilot Studio, Agentforce, AI Agents).
- Programming in Python or TypeScript; Kubernetes, Docker, Terraform; LLM providers.
🎁 Benefits
- Health coverage for you and family in many locations.
- Flexible locations and schedules for many roles.
- Generous vacation days each year.
- Company matches donations up to CAD 2000.
- Up to 40 hours per year for volunteer projects.
- Minimum 16 weeks parental leave.
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