Roles and Responsibilities

• Design and deploy AI/ML solutions using Microsoft Fabric or Azure Data Lake with advanced Python libraries (e.g., LangChain, Transformers).
• Query and analyze complex datasets with SQL/KQL, integrating data into AI models.
• Build scalable web applications with React/Angular (front-end) and FastAPI/Node.js (back-end).
• Implement and optimize FAISS, Pinecone, Weaviate, and ChromaDB for semantic search and embeddings.
• Develop and optimize multi-LLM systems, fine-tune domain-specific models, and orchestrate advanced AI agents.
• Deploy AI solutions on Azure (preferred), and manage CI/CD pipelines using Docker and Kubernetes.
• Ensure AI solutions adhere to safety, governance, and ethical guidelines.

Required Skills & Qualifications

• 5+ years of AI/ML development, with enterprise data integration expertise.
• 2+ years with Microsoft Fabric or Azure Data Lake (or similar lakehouse platforms).
• Advanced proficiency in Python and AI/ML libraries (e.g., LangChain, Transformers).
• Strong knowledge of SQL/KQL, vector databases (FAISS, Pinecone, ChromaDB).
• Experience with multi-LLM integration (OpenAI, Anthropic, Google).
• Full-stack development experience (React/Angular, FastAPI/Node.js).
• Familiarity with cloud platforms (Azure, AWS/GCP) and DevOps (Docker, Kubernetes, CI/CD).

Preferred Qualifications

• Master’s degree in Computer Science, AI, or related field.
• Experience in large-scale RAG system architecture and AI governance.

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