Senior IT Specialist- AI Engineer (ID- 1244)
Posted
Summary
Designs and deploys agentic generative AI solutions: LLM-powered RAG pipelines, multi-agent automation with LangGraph/LangChain, vector databases, and LLM governance. Also builds FastAPI/Flask services, ML models for NLP/vision, and MLOps (CI/CD, monitoring) on Azure.
• 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.
Skills
- Agentic AI
- AI
- Ai Enablement
- Analytics
- API
- Api Design
- Automation
- Azure
- CI/CD
- Cloud
- Computer Vision
- Docker
- FastAPI
- Fine Tuning
- Flask
- Generative AI
- Java
- Kubernetes
- LangChain
- LangGraph
- LLM
- Machine Learning
- Milvus
- MLOps
- NLP
- pgvector
- PostgreSQL
- Predictive Analytics
- Prompt Engineering
- Python
- RAG
- Regulatory Compliance
- REST
- Semantic Search
- SQL
- Streamlit
- Vector Databases