Job Role:- Principal Engineer ? AI Research Job Location:- Bengaluru, India Experience:- 10-15 Years Role Summary:- 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. Key Responsibilities:- • 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. Required Skills:- • 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. Qualifications & Experience:- • Bachelor?s, Master?s, or PhD in Computer Science, Artificial Intelligence, Software Engineering, or a related field. • 10?15 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. Preferred Attributes:- • 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.
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