NeuLeap.AI

At NeuLeap.AI , we’re building next-generation AI solutions that transform how enterprises work with data, analytics, and decision-making. We’re looking for a Junior GenAI Engineer who is curious, hands-on, and eager to learn while contributing to real-world applications of Generative AI. What You’ll Do: Work with senior GenAI engineers to design, build, and deploy GenAI-powered applications. Fine-tune and prompt large language models (LLMs) for specific business use cases. Assist in integrating LLMs with APIs, databases, and front-end applications. Work with embeddings, vector databases, and knowledge graph integrations. Support data preprocessing, model evaluation, and testing pipelines. Contribute to documentation, demos, and internal accelerators. What We’re Looking For: Strong foundation in Python (experience with libraries like LangChain, Hugging Face, or PyTorch is a plus). Familiarity with transformer architectures and attention mechanisms (awareness is fine; deep expertise will be built here). Exposure to cloud platforms (AWS/Azure/GCP) and containerization (Docker/Kubernetes) is preferred. Understanding of data structures, SQL/NoSQL databases , and basic software engineering practices (Git, CI/CD). Curiosity about how GenAI can be applied to solve problems in data engineering, analytics, and enterprise workflows. Good communication skills and a collaborative mindset. Why Join Us? Opportunity to learn directly from experienced data engineers, ML engineers, and AI practitioners. Hands-on exposure to client projects and cutting-edge GenAI tools. A supportive, growth-oriented culture where your ideas matter. Fast-growing startup environment with plenty of ownership