• Design and deploy agentic generative AI solutions leveraging LLMs, RAG pipelines, context engineering, and REST APIs.
• Architect and build multi-agent automation systems using frameworks such as LangGraph or similar orchestration platforms
• Implement LLM governance architecture including prompt drift detection, auditability, and safety policies to ensure regulatory compliance.
• Develop and integrate vector database solutions for semantic search and retrieval-augmented generation.
• Collaborate cross-functionally with AI architects, product managers, and compliance teams to accelerate AI adoption across business units.
• Develop APIs using FastAPI/Flask and build interactive demos for stakeholder showcases.
• Contribute to MLOps practices including CI/CD pipelines, model monitoring, and deployment automation.




• Conduct research experiments to enhance model performance, reliability, and fairness.
• Build and maintain ML models for domain-specific tasks such as NLP, computer vision, and predictive analytics. Requirements
• Programming: Proficiency in Python; working knowledge of SQL and Java.
• GenAI & LLMs: Deep expertise in LLMs, RAG, prompt engineering, fine-tuning, and model governance.
• Frameworks: LangChain,
• APIs & Backend: FastAPI, Flask, REST API design.
• Databases: Vector databases (Milvus, PGVector), PostGRESQL.
• Cloud & MLOps: Azure AI Foundry; Docker, Kubernetes, CI/CD pipelines.
• Visualization & UI: Streamlit, basic UI/UX design principles.

📌 Senior IT Specialist- AI Engineer (India)
🏢 MarketScope
📍 India