Job Role:- Principal Engineer ? AI

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:-
Solid 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 infere

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