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High competition due to popular LLM role, mid-level experience band, metro location, and broad AI skill requirements.
High because specialized LLM/Generative AI expertise is strongly domain-specific and less transferable across industries.
High due to explicit 4–10 years requirement and mandated LLM, Python, and GCP expertise.
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Design, develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI solutions primarily on Google Cloud Platform (GCP).
Build scalable AI model consumption APIs and microservices, including Retrieval-Augmented Generation (RAG) pipelines.
Collaborate with cross-functional teams and provide mentorship while ensuring compliance with security and data privacy standards.
4 to 10 years of experience in AI-focused software development or technology leadership.
Proficient in Python 3.8+ with experience in AI frameworks such as PyTorch or TensorFlow.
Experience with cloud AI services, specifically Google Cloud Platform (BigQuery, Vertex AI) or equivalents (AWS/Azure).
Bachelor's or Master's degree in Computer Science, IT, AI/ML, Data Science, or related field; relevant hands-on experience may be considered.
Experienced in developing and deploying Generative AI and agentic AI systems in enterprise environments with cross-functional collaboration.
Skilled in building scalable AI pipelines and optimizing models for performance, cost, and latency on cloud platforms.
Capable of leading AI technology strategy, mentoring teams, and integrating AI solutions into business applications.