AI/ML ENGINEER (Generative AI)

Job Summary: 

We are looking for 3-5 years of experienced AI/ML Engineer with strong expertise in Generative AI, Large Language Models (LLMs), Vision Language Models (VLMs), Retrieval-Augmented Generation (RAG), and AI agent frameworks. The ideal candidate will design, develop, and deploy scalable AI solutions for intelligent automation, document processing, computer vision, and conversational AI.

Key Responsibilities:

• Design and develop AI applications using LLMs, VLMs, RAG, and Agentic AI frameworks.
• Build intelligent chatbots, AI assistants, and workflow automation solutions.
• Develop and optimize AI/ML models for NLP, computer vision, and predictive analytics.
• Implement vector databases and semantic search solutions.
• Fine-tune and evaluate open-source LLMs using LoRA/PEFT techniques. 
• Develop REST APIs and production-ready AI services using FastAPI/Django.
• Build scalable data pipelines for document ingestion, indexing, and retrieval.
• Deploy AI solutions using Docker and cloud infrastructure.
• Collaborate with cross-functional teams to deliver production-grade AI products.

Required Skills: 

• Strong programming skills in Python and SQL.
• Experience with Generative AI, LLMs, LangChain, LlamaIndex, CrewAI, LangGraph, or AutoGen.
• Hands-on experience with RAG architectures and vector databases (Qdrant, ChromaDB, Pinecone, Weaviate, or PGVector).
• Knowledge of Machine Learning and Deep Learning frameworks (PyTorch, TensorFlow, Scikit-learn).
• Experience with FastAPI/Django, REST APIs, and Docker.
• Familiarity with PostgreSQL, MongoDB, and Elasticsearch.
• Good understanding of AI model evaluation, prompt engineering, and production deployment.

Preferred Skills: 

• Experience in Computer Vision (YOLO, RT-DETR, OpenCV). 
• Experience with Airflow, cloud platforms, and MLOps.
• Familiarity with explainable AI (SHAP) and AI benchmarking tools.