Generative AI Engineer (Immediate joiner with short NP within 30 days)

Project Description: We are seeking highly skilled and motivated Generative AI Engineers to join our growing AI team. You will be responsible for designing, developing, and deploying cutting-edge Generative AI solutions using LLMs, Transformers, and Diffusion models. This role involves working on enterprise-grade applications such as intelligent chatbots, document summarization, code assistants, and more.

: • Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for real-world enterprise use cases. • Build and fine-tune LLM-based applications such as: Chatbots, Document Q&A systems, Report generators, Code assistants and Summarization tools. • Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. • Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or Node.js. • Collaborate with architects to define scalable, secure, and cost-efficient AI service architectures. • Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. • Monitor model performance, detect drift, and drive continuous improvement. • Optimize inference performance and cost through model compression, quantization, and API optimization. • Ensure compliance with AI ethics, security, and governance standards. • Prepare and curate training datasets (structured/unstructured text, images, code). • Apply data preprocessing, tokenization, and embedding generation techniques. • Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. • Partner with business stakeholders to identify and shape impactful AI use cases. • Contribute to the development of a strategic AI adoption roadmap and reusable AI Workbench/platform components. Mandatory Skills Description: • Overall 7+ years of experience and relevant 4+ years of GenAI. • Strong programming skills in Python (preferred), with experience in Java or Node.js. • Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral), Transformers, and Diffusion models. • Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. • Familiarity with RAG pipelines, embedding models, and vector databases. • Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. • Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). • Strong understanding of data engineering, data pipelines, and ETL workflows. • Excellent problem-solving, communication, and stakeholder engagement skills. • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.