Join a leading team focused on safeguarding organizations and their critical assets through advanced cyber security solutions. We champion a proactive approach to cyber risk management, ensuring resilience and enabling new opportunities. This role is integral to embedding cyber risk awareness at the strategic level for effective information and technology risk management.

This hands-on role involves architecting, developing, and deploying enterprise-grade AI solutions. You will work extensively with Generative AI, Agentic AI, RAG/GraphRAG, and Machine Learning frameworks. Key responsibilities include designing and building LLM workflows, managing LLM inference intricacies, and evaluating/selecting optimal models. You'll also develop robust agentic AI architectures for complex enterprise tasks.

We are seeking an engineer with strong fundamentals in Python, ML/LLM concepts, retrieval architectures, and agent orchestration. Essential experience includes backend engineering, cloud deployment, and AI evaluation. The ideal candidate can move beyond prototypes, demonstrating expertise in designing AI systems that perform reliably under real-world constraints like latency, concurrency, security, and scalability. A Bachelor's degree in CS, IT, EC, or E, or an MCA from a recognized university is required.