The role involves designing, developing, and deploying scalable artificial intelligence solutions. The individual will implement retrieval-augmented generation and fine-tuning techniques while building agentic frameworks. Responsibilities include applying best practices for development workflows and monitoring the performance of applications. The engineer will collaborate with cross-functional teams to align systems with broader development goals. Additionally, the position requires performing end-to-end software engineering to ensure robust and effective system integration.

The role requires at least four years of experience in building and deploying artificial intelligence or machine learning solutions in production environments. Candidates must possess strong expertise in the Azure ecosystem, including machine learning, data bricks, and cognitive services. Proficiency in Python and major machine learning frameworks is necessary, alongside hands-on experience with retrieval-augmented generation and prompt engineering. While not mandatory, relevant Azure certifications and familiarity with containerization or infrastructure-as-code tools are considered beneficial.