Overview

We are looking for a hands-on AI/ML Developer with experience in Large Language Models (LLMs), Prompt Engineering, and AI model integration. The ideal candidate should have practical experience working with AI models, fine-tuning them, optimizing prompts, and integrating them into real-world applications. This role is perfect for someone who has already worked on AI-driven applications and wants to expand their expertise by researching and implementing new AI advancements. You will have the opportunity to experiment with different LLM architectures, improve AI model efficiency, and contribute

Responsibilities

• Work hands-on with LLMs like GPT, LLaMA, Mistral, Claude, and Gemini.
• Design, test, and optimize prompts for various AI tasks.
• Develop Python-based applications that interact with LLM APIs.
• Build and deploy AI models using FastAPI or Flask.
• Work with vector databases (FAISS, ChromaDB, Pinecone) for efficient retrieval.
• Deploy AI models on cloud platforms (AWS, Azure, GCP) using Docker and Kubernetes.
• Work with text embeddings, named entity recognition (NER), and knowledge retrieval.
• Implement vector search techniques for AI-enhanced applications.
• Stay up to date with the latest LLM advancements and AI research papers.
• Implement recent AI techniques into existing workflows.
• Optimize models using quantization, vLLM, and low-rank adaptation (LoRA).

Qualifications

• Must-Have Hands-on Experience:
• Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow).
• Hands-on experience working with LLMs and fine-tuning.
• Building APIs with FastAPI or Flask for AI model integration.
• Familiarity with vector databases and embedding models.
• Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment.
• Background in MLOps for tracking and managing AI models.
• Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote .