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Tier-1 brand plus metro location and specialized yet sought-after GenAI skills creates moderate competition.
Highly specialized ML/GenAI and cloud-agentic expertise reduces cross-industry transferability.
Explicit 10+ years and multiple mandatory AI, cloud, and full-stack skills make filters strict.
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Own end-to-end design, development, and delivery of full-stack AI and agentic software products, ensuring high-quality, scalable, and cost-effective solutions.
Lead and mentor engineering teams in technical standards, architecture integrity, and continuous improvement within AI and cloud-native environments.
Engage cross-functional teams and customers to iteratively develop customer-centric solutions utilizing GenAI, cloud services, and modern software practices.
Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline.
10+ years full-stack software engineering experience including Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, and testing frameworks.
3+ years hands-on experience building AI/ML and agentic applications with GenAI across LLM integration, RAG pipelines, prompt engineering, vector databases, and AI orchestration.
3+ years cloud-native engineering experience on AWS/Azure/GCP including AI/ML services and infrastructure-as-code; 1+ year leading engineering standards and mentoring teams.
Experienced leader with proven ability to drive product-focused AI/ML engineering outcomes in complex, cross-functional teams.
Deep expertise integrating generative AI and agentic frameworks into scalable cloud-native products, emphasizing cost-aware and outcome-driven engineering.
Skilled in modern Agile, DevSecOps, and AI-augmented product development lifecycles, delivering high-quality software rapidly while maintaining architecture integrity.