Artificial Intelligence Engineer

Advanced proficiency in Python and strong software engineering foundations, including object-oriented design, data structures, algorithms, testing, version control, and design patterns.

Generative AI: LLMs, RAG, prompt engineering, fine-tuning, agents, evaluation frameworks, guardrails, and responsible AI.

         Strong hands-on experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn.

         Practical experience building applications with large language models and related frameworks, orchestration tools, embedding models, and vector search technologies.

         Experience deploying AI workloads on at least one major cloud platform—preferably Microsoft Azure—or equivalent experience with AWS or Google Cloud.

         Strong knowledge of containerization, Kubernetes, CI/CD, REST APIs, microservices, distributed systems, and infrastructure-as-code practices.

         Demonstrated experience with model deployment, monitoring, optimization, governance, and production support.

         Strong analytical, problem-solving, communication, stakeholder-management, and technical leadership skills.