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Strong employer brand, metro location, and broad cross-discipline AI/full-stack requirements increase candidate competition.
Role requires niche agentic AI, LLM and MLOps expertise, limiting cross-industry transferability.
Explicit 7+ years, 3+ years LLM experience, and many mandatory technical skills make filtering strict.
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Develop and deploy advanced agentic generative AI systems and classical ML models end-to-end, including design, coding, testing, and monitoring.
Manage full software development lifecycle using AI coding agents, ensuring production-grade Python/TypeScript code, CI/CD pipelines, and cloud-native AWS/multicloud deployments.
Lead exploratory data analysis, algorithm optimization, and implement rigorous evaluation and observability frameworks for generative and multimodal AI systems.
7+ years experience in AI/ML engineering and Data Science, including 3+ years with generative large language models and AI agents.
Advanced proficiency in Python; TypeScript is a plus.
Experience with AI orchestration frameworks (e.g., LangChain), AWS cloud and GenAI services, vector/graph/SQL/NoSQL databases, containerization (Docker), and CI/CD.
Bachelor’s or higher degree in Computer Science, Physics, Statistics, Mathematics, or related field.
Experienced in integrating multimodal foundation models and advanced agentic workflows (e.g., Agent-to-Agent communication, Model Context Protocol).
Ability to lead technically and consult cross-functionally, influencing architectural decisions and driving ethical AI implementations.
Comfortable working with agile, small teams and leveraging AI coding agents to accelerate full-stack development in a fast-evolving AI environment.