Platform Engineer AI

Role Overview Virtusa is looking for a skilled Platform Engineer with a strong focus on Artificial Intelligence to join its growing technology team in Chennai. In this role, you will be at the forefront of designing, building, and integrating advanced machine learning and AI solutions with a special emphasis on large language models and generative AI. You will work across the full lifecycle of AI product development, from architecture to production deployment, ensuring every solution meets the highest standards of quality and performance. Key Responsibilities - Design, develop, and integrate production-grade AI and machine learning applications with a focus on LLMs and generative AI - Build reliable, scalable automation services and backend components using Python and modern software engineering best practices - Operationalise LLM-based solutions with strong governance, performance monitoring, and reliability controls - Implement advanced LLM application patterns such as prompt orchestration, retrieval-augmented generation (RAG), embeddings, and vector databases - Collaborate with cross-functional teams to ensure AI solutions align with business and production requirements Required Qualifications - Hands-on experience with Python for building production-quality services and automation - Practical knowledge of large language models, generative AI frameworks, and associated tooling - Familiarity with LLM integration patterns including RAG pipelines, prompt engineering, and vector database management - Understanding of MLOps principles, software engineering best practices, and system reliability - Strong problem-solving skills and an ability to work in fast-paced, collaborative environments Why Join Us Virtusa is a globally recognised technology company that empowers engineers to work on transformative AI projects with real-world impact. This is an exceptional opportunity to grow your career at the cutting edge of generative AI and enterprise platform engineering.

- Python programming for production services and automation - Experience with large language models and generative AI - Knowledge of prompt orchestration and RAG pipelines - Familiarity with embeddings and vector databases - MLOps and software engineering best practices - Strong understanding of AI application reliability and governance