- 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 (ID- 1244) (India)
🏢 MarketScope
📍 India