Medtronic
Hyderabad, Telangana, India Posted 5d ago
Medtronic requires a Senior AI Data Science Engineer to design, build, and maintain enterprise-grade AI applications that combine full stack engineering, prompt engineering, workflow automation, cloud integration, and large language model technologies.
Key Responsibilities
Design, develop, and maintain full stack applications using Vue.js, TypeScript, JavaScript, Python, Flask, REST APIs, and modern user interface frameworks.
Develop and deploy AI-enabled applications utilizing large language models, prompt engineering techniques, and machine learning models.
Build enterprise business applications with workflow automation, role-based access controls, secure authentication, and database integrations.
Design and implement prompt engineering strategies to improve performance, accuracy, and usability of AI-driven application features.
Integrate applications with cloud platforms, third-party services, AI technologies, and enterprise systems.
Develop and support solutions using PostgreSQL and other relational or non-relational database technologies.
Participate in Agile software development activities including planning, technical design, code reviews, and testing.
Collaborate with product, engineering, and business stakeholders to translate requirements into scalable technical solutions.
Requirements
Bachelor's degree with 4+ years of experience OR Master's degree with 2+ years of experience in Artificial Intelligence, Data Science, Software Engineering, Computer Science, or related disciplines.
Experience developing enterprise AI applications using large language models, prompt engineering, and generative AI platforms such as Claude, Gemini, or OpenAI GPT.
Strong experience in full stack software development using Vue.js, TypeScript, JavaScript, Python, and Flask.
Experience developing and integrating cloud-based applications and workflow automation solutions.
Preferred Qualifications
Experience with PostgreSQL, PostgREST, Redis, Docker, and multi-container application environments.
Experience with machine learning model development and AI-enabled enterprise platforms.
Experience with automated testing frameworks, CI/CD pipelines, and DevOps practices.
Experience developing secure applications with role-based access control.
