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 productive 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 .
- Strong 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 Git, Docker, CI/CD pipelines , and deployment best practices.
- Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

- Experience with LangSmith, MLflow, LlamaIndex , or similar LLM observability and evaluation tools.
- Knowledge of AI governance, responsible AI practices, and LLM security.
- Experience with Kubernetes, container orchestration, and scalable cloud-native deployments.
- Exposure to MLOps pipelines and model monitoring solutions.
- Relevant certifications in Azure AI, AWS AI/ML, or Google Cloud AI are a plus.

Why Join Us?

- Work on cutting-edge Generative AI and Agentic AI technologies.
- Collaborate with experienced AI, Data Engineering, and Product teams.
- Opportunity to work with the latest LLMs, cloud platforms, and modern AI frameworks.
- Continuous learning and career growth in one of the fastest-growing technology domains.

Pay: ₹50,000.00 - ₹90,000.00 per month

Benefits :

- Health insurance
- Provident Fund

Application Question(s):

- its a contract base job are you comfortable ?

Language :

- English (required)

Location :

- Indore, Madhya Pradesh (Indore) (required)

Work Location: In person

📌 Generative Ai Engineer (5+yrs Exp) (Indore)
🏢 ZecData Technology
📍 Indore