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Hot GenAI role, mid-level range, and metro location increase applicant competition.
Advanced LLM and cloud skills transferable across industries yet require ML specialization.
Mandatory LLM, Python, PyTorch, GCP, and 4–10 years imply strict technical filters.
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Design, develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI models using Python and AI frameworks.
Build scalable AI solutions including Retrieval-Augmented Generation (RAG) pipelines, APIs, and microservices within enterprise environments on GCP.
Collaborate cross-functionally, evaluate emerging AI technologies, and provide technical mentorship to junior engineers.
4 to 10 years of work experience in AI-focused technology leadership or software development.
Proficiency in Python (3.8+) with experience in AI frameworks like PyTorch or TensorFlow.
Experience with Google Cloud Platform (GCP) services including BigQuery and Vertex AI or equivalent cloud AI platforms.
Bachelor’s or Master’s degree in Computer Science, IT, AI/ML, Data Science, or related field; relevant experience may substitute formal degrees.
Experienced in deploying advanced Generative AI and Agentic AI models at enterprise scale, with a strong focus on performance and cost-efficiency.
Operates effectively at the intersection of AI model development and cloud-native architecture, specifically within Google Cloud environments.
Demonstrates leadership in mentoring, cross-functional collaboration, and strategic evaluation/adoption of emerging AI technologies.