20 Sep
|
Sbase Technologies
|
Bengaluru
20 Sep
Sbase Technologies
Bengaluru
Technical Requirements
GenAI Ecosystem: 2+ years of hands-on experience building production RAG pipelines and multi-agent systems using LangChain, LangGraph, or LlamaIndex.
Protocols & Frameworks: Robust understanding of Model Context Protocols (MCP), A2A protocols, and Agent Developer Kits.
LLM Engineering: Practical proficiency in prompting techniques, fine-tuning workflows, and evaluating LLM outputs.
Data Science Stack: Solid hands-on experience leveraging Python, pandas, scikit-learn, and PyTorch.
Cloud & MLOps: Experience deploying and scaling machine learning solutions on AWS, Azure, or GCP.
DevOps & Containers: Working knowledge of Docker, Kubernetes, CI/CD pipelines, and GitHub Actions.
Backend Stack: Production-grade backend coding skills in Python, with basic familiarity in JavaScript/TypeScript for API integrations.
📌 Gen Ai Python Bengaluru
🏢 Sbase Technologies
📍 Bengaluru