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Tier-1 employer plus metro location and attractive mid-senior AI role yields moderate candidate competition.
High because agentic LLM, MLOps, and multimodal expertise create strong domain-specific hiring bias.
Explicit 7+ years, 3+ years LLM experience and mandatory production MLOps and tooling make filters strict.
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Build and deliver end-to-end agentic generative AI systems and classical ML solutions, owning lifecycle from concept and EDA to production release and monitoring.
Develop AI applications leveraging multimodal foundation models, agent-to-agent communication, Model Context Protocol, and cloud services (AWS/multicloud) to address complex business challenges.
Lead full-stack development using AI coding agents, handle MLOps including containerization, CI/CD, and cloud architecture to ensure scalable, reliable AI deployments.
7+ years experience in AI/ML engineering and Data Science including generative AI and classical ML.
3+ years hands-on experience with generative large language models and AI agents.
Advanced Python programming skills; familiarity with TypeScript advantageous.
Degree in Computer Science, Physics, Statistics, Mathematics or related field (B.Sc., M.Sc., Ph.D., or equivalent).
Experienced in designing and deploying scalable agentic AI systems integrating multiple AI modalities and complex workflows.
Capable of taking ownership end-to-end, including architectural leadership and consulting stakeholders on AI strategies.
Comfortable operating in fast-paced, multidisciplinary agile teams using advanced AI workflows and cloud-native solutions.