Minimum of 5 years in software development, including at least 2 years in AI/ML engineering or related fields. Proven experience deploying LLMs and RAG solutions in production environments. Expertise in building and managing data pipelines for AI/ML workflows. Strong programming skills in Python. Familiarity with frameworks such as TensorFlow or PyTorch. Experience with cloud platforms (AWS, Azure, Google Cloud). Knowledge of database management, data wrangling, and distributed systems. Solid understanding of algorithms, statistics, and data science principles. Ability to promote AI adoption and influence stakeholders.