Generative AI Engineer (5+yrs exp)

We are seeking a highly skilled Generative AI Engineer with expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and scalable AI application development. The ideal candidate should have hands-on experience in designing, developing, and deploying enterprise-grade GenAI solutions using leading LLMs, modern AI frameworks, vector databases, and cloud platforms. You will collaborate with cross-functional teams to build intelligent AI applications that solve real-world business problems.

Key Responsibilities

Design, develop, and deploy enterprise-grade Generative AI applications using LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, and similar models.

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.

Integrate LLMs with enterprise applications, third-party APIs, automation workflows, and business systems.

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.

2+ years of hands-on experience building Generative AI applications using LLMs, embeddings, RAG, and LLM-powered solutions.

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.

Build production-scale AI solutions for enterprise applications.

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