Principal Engineer AI

Job Role:- Principal Engineer AI

Job Location:- Bengaluru, India

Experience:- 10-15 Years

We are seeking a Principal Engineer AI Research to lead the architecture, design, and delivery of production-grade AI platforms and agentic AI systems. This is a hands-on technical leadership role focused on building scalable, secure, and high-performance AI infrastructure that enables the deployment of advanced Generative AI, multimodal AI, and autonomous AI solutions across on-premise and cloud environments.

• Design and implement end-to-end architectures for agentic AI systems, Generative AI platforms, RAG pipelines, and AI inference workflows.
• Build scalable AI platforms supporting distributed training, model deployment, and enterprise integration.
• Optimise system performance, latency, throughput, GPU utilisation, and infrastructure costs.
• Lead debugging, production incident resolution, performance tuning, and reliability improvements.
• Develop reusable AI frameworks, SDKs, APIs, connectors, and CI/CD templates.
• Implement observability, monitoring, logging, tracing, and operational dashboards.
• Establish engineering standards, architecture governance, testing frameworks, and controlled release processes.
• Collaborate with research, product, data, and platform teams to translate AI research into production-ready systems.
• Mentor engineering teams and drive best practices in software engineering, MLOps, and AI platform development.

• Strong expertise in AI system architecture, distributed systems, cloud platforms, and scalable backend engineering.
• Experience with Generative AI, LLM deployment, RAG systems, agentic AI frameworks, and AI orchestration platforms.
• Proficiency in Python and modern software engineering practices.
• Experience with MLOps/LLMOps, containerisation, Kubernetes, CI/CD, monitoring, and infrastructure automation.
• Knowledge of distributed training, GPU optimisation, vector databases, and real-time inference systems.
• Strong debugging, performance optimisation, and reliability engineering skills.
• Excellent technical leadership, collaboration, and mentoring abilities.

• Bachelors, Masters, or PhD in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
• 1015 years of experience in software engineering, AI platforms, machine learning infrastructure, or distributed systems.
• Proven experience designing and delivering large-scale production systems and AI platforms.
• Experience leading technical architecture, engineering standards, and cross-functional delivery initiatives.

• Hands-on principal-level engineering expertise.
• Strong understanding of security, governance, observability, and production operations.
• Experience building reusable engineering platforms and developer tooling.
• Ability to translate advanced AI research into reliable enterprise-grade products.