Position: AI Engineer

Requirements:

• Minimum 5 years in AI/ML roles, specialized in GenAI solutions.
• Demonstrated experience in designing and developing conversational AI systems and intelligent chatbots for enterprise use cases.
• Strong proficiency in building and fine-tuning generative AI models aligned with specific business objectives.
• Hands-on expertise in implementing Retrieval-Augmented Generation (RAG) and agentic workflows to enhance contextual relevance and task automation.
• Skilled in prompt engineering, including iterative design and testing to optimize the performance of large language models (LLMs).
• Proven ability to build robust, scalable ML pipelines using platforms such as Azure ML or AWS SageMaker.
• Solid understanding of cloud-native data management, including Azure Blob Storage, Tables, Queues, and Amazon S3.
• Experience deploying and operationalizing Azure Foundation Models and Azure OpenAI services within production environments.
• Familiarity with containerization and DevOps practices, including Docker and CI/CD pipelines, for efficient and scalable deployment.
• Advanced programming skills in Python, with a focus on developing high-quality, maintainable code for AI/ML applications.