Related skills
python pyspark rag langchain genai๐ Description
- End-to-end development of Agentic AI solutions across enterprise use cases.
- Build scalable middleware and microservices integrating APIs, AI models, and cloud services.
- Ensure observability, monitoring, and compliance of AI systems in production.
- Mentor junior engineers and contribute to internal AI enablement frameworks.
๐ฏ Requirements
- Bachelorโs or Masterโs in CS/Data Science/Engineering; 2+ years in AI/ML.
- At least 1 year focused on Generative AI or Agentic AI development.
- Strong in Python, PySpark, GenAI, RAG, Langraph, Langchain, Prompt.
- Experience with vector databases like QdrantDB, ChromaDB is a plus.
- Experience with GIT, Github, BitBucket; Copilot for automation.
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