Join our team as a Custom Software Engineer, where you will develop bespoke software solutions. Your role will involve designing, coding, and enhancing system components using modern frameworks and agile methodologies to deliver scalable, high-performance applications that meet specific business needs.

You will be instrumental in leading the technical strategy for an AI-powered enterprise platform, fostering innovation in machine learning, generative AI, data science, and robust cloud systems.

Key responsibilities include architecting AI/ML solutions for classification, recommendation, and prediction systems. You will define model lifecycle management, build GenAI solutions leveraging LLMs and RAG, and drive experimentation frameworks for performance optimization.

Further responsibilities involve constructing scalable data and MLOps platforms, collaborating with Data Scientists and Engineering teams to deploy production-grade AI solutions, and establishing standards for AI governance and responsible AI practices.

We are seeking engineers with a minimum of 3 years of experience and a B.TECH degree. Essential skills include Generative AI, alongside proficiency in Python, PyTorch/TensorFlow, and cloud platforms like Azure, AWS, or GCP.

Demonstrated experience in designing enterprise-scale AI products and deploying models into production is crucial. Familiarity with RAG, AI agents, vector search, MLOps, and distributed systems architecture is highly valued.