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Strong employer brand combined with a senior ML role and niche generative AI specialization yields moderate competition.
Generative AI expertise is transferable across industries, but senior ML leadership adds moderate domain specificity.
Explicit 8+ years requirement, leadership expectations, and mandatory generative AI experience create strict filters.
Architect, design, and build production-grade AI systems using large language models (LLMs) and agentic AI frameworks.
Develop and deploy scalable AI workflows including multi-agent coordination, prompt engineering, RAG, and contextual memory systems.
Own architectural decisions, AI system evaluation, optimization, monitoring, governance implementation, and mentoring of development teams.
8+ years professional software development experience, including mentorship/team leadership.
Minimum 2 years hands-on experience building applications with Generative AI or agentic AI systems.
Strong proficiency in Python, backend engineering, RESTful API design, and scalable service architectures.
Working knowledge of LLM APIs, embeddings, vector search, RAG pipelines, agent frameworks, and AI governance principles.
Experienced senior engineer with deep expertise in integrating and deploying LLM-based AI and autonomous agents in production environments.
Strong architectural and operational ownership with ability to lead AI system design, governance, and performance optimization.
Familiar with AI safety, evaluation pipelines, multi-agent workflows, and responsible AI practices in cloud or distributed system contexts.