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aws databricks rag langchain llm📋 Description
- Build and extend multi-agent systems with AWS Agent Core and Bedrock Flows.
- Develop and integrate Retrieval-Augmented Generation (RAG) pipelines for internal tools.
- Implement LLM-powered chatbots, assistants, and autonomous agents for business use cases.
- Harden proof-of-concept AI systems to production-grade standards; collaborate with Team Lead.
- Pipeline AI components within AWS and Databricks for end-to-end data and model workflows.
- Apply observability, logging, and monitoring; contribute to CI/CD for models.
🎯 Requirements
- Solid background in data science or data engineering with AI/ML experience.
- Hands-on in building agentic AI systems, LLM apps, and RAG pipelines.
- Strong AWS knowledge (Agent Core, Bedrock, SageMaker, AWS Runs).
- Experience with Databricks for data engineering, ML pipelines, or model serving.
- Ability to work independently and write clean, maintainable code.
🎁 Benefits
- 100% Remote Work
- WFH allowance: monthly remote working support
- Career Growth with 360º feedback
- Training: online courses, books, conferences
- Mentoring Program
- Zartis Wellbeing Hub: wellbeing sessions
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