Generative AI Engineer

Job Summary We are looking for a skilled Generative AI Engineer with 3+ years of experience in designing, developing, and deploying AI-driven solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), deep learning frameworks, and building scalable AI applications. You will work closely with cross-functional teams to deliver innovative GenAI-powered solutions across various business use cases. Key Responsibilities • Design, develop, and deploy Generative AI models and applications using state-of-the-art techniques. • Work with Large Language Models (LLMs) such as GPT, LLaMA, or similar architectures. • Build and optimize prompt engineering strategies for various use cases. • Develop and maintain end-to-end pipelines for training, fine-tuning, and deploying models. • Integrate AI solutions into production systems using APIs and microservices. • Collaborate with data scientists, engineers, and product teams to deliver scalable solutions. • Ensure model performance, scalability, and reliability in production environments. • Stay updated with the latest advancements in Generative AI and machine learning. Required Skills & Qualifications • 3+ years of experience in AI/ML or related fields. • Strong programming skills in Python. • Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch. • Experience with LLMs, transformers, and Generative AI techniques. • Knowledge of prompt engineering, fine-tuning, and embeddings. • Familiarity with NLP concepts and techniques. • Experience with APIs, REST services, and cloud platforms (AWS, Azure, or GCP). • Understanding of vector databases and retrieval-augmented generation (RAG). • Strong problem-solving and analytical skills. Good to Have • Experience with LangChain, LlamaIndex, or similar frameworks. • Knowledge of MLOps tools and model deployment pipelines. • Experience working with Docker, Kubernetes, and CI/CD pipelines. • Exposure to data engineering and big data technologies. Soft Skills • Strong communication and collaboration skills. • Ability to work in a fast-paced, dynamic environment. • Proactive mindset with a passion for innovation and learning. Work Location: Remote