GenAI / AI-ML Engineer

Role Overview

We are looking for a GenAI / AI-ML Engineer with 4–6 years of experience to design, develop, and deploy scalable AI/ML and Generative AI solutions. This is a full-time, hybrid role based in Gurugram, focusing on building RAG pipelines, LLM-powered applications, and integrating advanced AI workflows into production environments.

Responsibilities

• Design, develop, and deploy scalable AI/ML and Generative AI solutions.
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using modern frameworks and vector databases.
• Develop LLM-powered applications leveraging prompt engineering, AI agents, and multi-agent workflows.
• Fine-tune, evaluate, and monitor machine learning and deep learning models.
• Build REST APIs and backend services for AI applications.
• Design data preprocessing, feature engineering, and model evaluation pipelines.
• Integrate structured and unstructured data sources to deliver contextual AI solutions.
• Collaborate with cross-functional teams including Data Engineering, DevOps, and Product teams.
• Ensure scalability, reliability, and performance of AI applications in production environments.

Requirements

• 4–6 years of professional experience.
• Minimum 1+ year of hands-on experience in GenAI/LLM projects.
• Strong hands-on experience in Python and SQL.
• Experience building APIs using FastAPI or similar frameworks.
• Hands-on experience with Scikit-learn, TensorFlow, PyTorch, and Keras.
• Experience with LangChain, LangGraph, OpenAI APIs, Hugging Face, and LangSmith.
• Experience with vector databases like Pinecone or FAISS.
• Hands-on experience with AWS services including EC2, S3, SageMaker, and Bedrock.
• Proficiency with Docker, Git, JIRA, and CI/CD practices.

Skills

• Python
• LangChain
• PyTorch
• AWS
• FastAPI