Job
Description
Key Skills: Machine Learning, Python, MySQL, Tensorflow, AI Artificial intelligence, Java, Golang. Roles and Responsibilities: Architect and design scalable, reliable, and high-performance distributed systems, management products, and business applications across business units. Lead AI innovation by leveraging technologies such as SageMaker, Vert.x, LangChain, Large Language Models (LLMs), Prompt Engineering, and DialogFlow to build AI-native applications. Develop robust and efficient server-side applications using back-end technologies including Java, TypeScript, Spring, and Express (Node.js). Design and implement cloud-native solutions in AWS or GCP environments with a focus on scalability, security, and cost-efficiency. Collaborate cross-functionally in a matrixed organization, aligning stakeholders and driving project velocity. Provide technical leadership and mentorship to junior and senior engineers, fostering a culture of excellence and innovation. Contribute to the development of AI-native applications and ensure continuous improvement through research and adoption of new technologies. Solve complex technical problems with innovative and scalable solutions that align with business goals. Enforce coding standards and best practices to maintain high code quality and ensure long-term maintainability. Experience Requirements: 12+ years of experience developing systems and software in large-scale business environments. At least 5 years of hands-on experience designing and building complex distributed systems, management tools, or business applications. Proven experience in AI technologies including SageMaker, Vert.x, LangChain, Large Language Models (LLMs), Prompt Engineering, DialogFlow, and Python. Prior experience working within cloud platforms such as AWS or GCP. Experience working in teams that have developed ML/AI-native applications for at least 1 year. Excellent problem-solving, analytical, communication, and collaboration skills. Ability to work effectively in a dynamic, fast-paced, and matrixed environment. Education: M.S., M.E., B.Tech M.Tech (Dual), Phd, B.Tech, M. Tech, ML/LLM.x
