Key Responsibilities
- Build and implement Agentic AI workflows using frameworks like CrewAI, AutoGen, LangGraph, and LangChain Agents.
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines, embedding-based retrieval systems, and semantic search solutions.
- Develop scalable AI services and APIs using Python, FastAPI, Flask, or similar frameworks.
- Implement advanced prompt engineering, hallucination reduction techniques, and model evaluation strategies to improve response quality.
- Work with vector databases such as FAISS, Pinecone, Chroma, and Weaviate for efficient knowledge retrieval.
- Deploy AI solutions on Azure, AWS, or GCP, ensuring scalability, security, and performance.
- Monitor, evaluate, and optimize AI models for accuracy, latency, reliability, and cost efficiency.
- Collaborate with Data Scientists, ML Engineers, Product Managers, and Software Developers to deliver production-ready AI solutions.
- Follow software engineering best practices, including version control, CI/CD, Docker, and automated deployments.

Required Skills & Qualifications




- 4+ years of experience in Artificial Intelligence/Machine Learning, including model development, data preprocessing, exploratory data analysis (EDA), model training, and evaluation.
- Minimum 6 months of practical experience with Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain Agents.
- Strong programming skills in Python.
- Experience with ML libraries including Scikit-learn, Pandas, NumPy, and related AI/ML ecosystems.
- Hands-on experience with OpenAI APIs, Azure OpenAI, Hugging Face, and prompt engineering techniques.
- Experience developing RESTful APIs using FastAPI, Flask, or Django.
- Solid understanding of REST APIs, microservices architecture, and system integration.
- Experience with vector databases including FAISS, Pinecone, Chroma, or Weaviate.
- Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
- Familiarity with Gi

📌 Generative Ai Engineer (Indore)
🏢 ZecData Technology
📍 Indore