AI/Data Science Engineer II

Overview

As an AI/Data Science Engineer II, you will design, develop, deploy, and support AI-enabled applications combining prompt engineering, traditional machine learning, and full stack software development. You will collaborate with technical and non-technical stakeholders to deliver scalable, maintainable, and audit-defensible solutions while supporting operations, documentation, and continuous improvement.

What you'll do

• Design, evaluate, and optimize prompts for large language model (LLM) and AI-enabled applications to improve accuracy, consistency, and user experience.
• Develop and maintain full stack applications using Python, Vue, JavaScript, and TypeScript technologies.
• Integrate artificial intelligence and machine learning solutions into production-grade software applications.
• Apply machine learning techniques including data preparation, feature engineering, model development, validation, deployment, and performance evaluation.
• Manage application deployment, support, and troubleshooting activities within Internet Information Services (IIS) and Windows-based server environments.
• Produce technical documentation for software, models, workflows, and operational processes to support traceability, reproducibility, and audit readiness.
• Collaborate with engineering, product, business, and operational stakeholders to communicate technical concepts, project status, risks, dependencies, and implementation plans.
• Contribute to technical design, architecture decisions, code reviews, software testing, debugging, and continuous improvement initiatives.

What you'll need

• Bachelor's degree with 4+ years of experience OR Master's degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Information Technology, or Machine Learning.
• Experience in prompt engineering and AI-enabled application development.
• Proficiency in Python and full stack software development.
• Experience with Vue and JavaScript or TypeScript for frontend development.
• Experience with IIS, server management, application deployment, and traditional machine learning techniques.

Nice to have

• Experience in regulated or quality-driven environments requiring documentation, traceability, and audit readiness.
• Experience with Continuous Integration/Continuous Deployment (CI/CD), DevOps practices, and software release processes.
• Experience building AI-enabled enterprise applications and deploying machine learning solutions in production environments.
• Experience with cloud or hybrid computing environments.
• Experience providing technical leadership, mentoring team members, or leading technical initiatives.

Details

• Location: Nanakramguda, Hyderabad, India.
• Follows a Flex work arrangement.
• No travel is required.