Generative ai Engineer (Pune City)

About the job Job Title: AI Engineer Required Experience: 3+ years Job Description: As the AI Engineer, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of AI engineers, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a solid combination of technical expertise, leadership skills, and business acumen. Technical Expertise: - Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage transformers for complex natural language processing-based tasks. - Hands-on experience in RAG (Retrieval-Augmented Generation) pipelines using Pinecone or similar vector databases to enhance LLM performance. - Experience building RESTful APIs and ML endpoints using FastAPI, integrating seamlessly with production systems. - Apply LangChain and agentic frameworks to integrate LLMs with tools, memory, and reasoning chains. - Proficiency in designing LLM-driven workflows, including prompt engineering, chain-of-thought reasoning, and OpenAI API call optimization to reduce latency and cost. - Develop scalable event-driven architectures using AWS EventBridge, RDS, and other AWS services (e.g., S3, Glue, SageMaker, AWS Bedrock). - Develop and optimize embedding generation, storage, and retrieval processes using tools like OpenAI Embeddings, LangChain, and Pinecone. - Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc. - Development of core Machine Learning algorithms like time series analysis with Neural ODEs and variational autoencoders for Image Generation and anomaly detection; - Provide oversight for core deep learn .