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Job Description
Structured overview of role & requirementsAbout This Role
Design and develop production-grade AI and Generative AI solutions including large language models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
Build scalable APIs and platforms for AI model deployment; establish monitoring and governance for responsible AI use.
Partner with cross-functional teams to identify AI opportunities, drive innovation, and mentor engineers to promote AI best practices.
Minimum Requirements
Bachelor's or master's degree in computer science, engineering, or a closely related quantitative discipline.
9-12 years of relevant work experience.
Strong programming skills in Python, SQL, Java, Go; expertise with AI/ML frameworks like PyTorch, Scikit-learn, and Generative AI models such as GPT, Claude, Llama.
Experience with cloud platforms (AWS/Azure), Kubernetes, Docker, CI/CD, and knowledge of AI model fine-tuning, prompt engineering, and RAG architectures.
Ideal Candidate Profile
Experienced in building and scaling AI platforms supporting multiple AI products and teams, with knowledge of MLOps/LLMOps and GPU orchestration.
Familiarity with enterprise AI governance frameworks and performance optimization of foundation models.
Ability to translate business requirements into technical AI solutions and lead innovation within cross-functional teams.