AI Engineer

- Developing AI-enabled solutions by designing, building, testing, and implementing components
- Collaborating with business and technical stakeholders to clarify AI use cases and requirements
- Applying machine learning and AI concepts to support model selection and experimentation
- Utilizing Python, REST APIs, and frameworks like Streamlit and FastAPI for application development
- Engaging with language models such as Azure OpenAI and Vertex AI for tasks like summarization and classification
- Conducting root-cause analysis and applying structured problem-solving approaches
- Managing tasks effectively to deliver work within agreed timelines and quality standards
- Supporting quality assurance across prototypes, production components, and test outputs
- Adapting to changing project requirements and emerging delivery patterns
- Contributing to team objectives through code reviews, knowledge sharing, and continuous improvement
- Developing an understanding of business processes and regulatory considerations for AI solutions
- Enhancing data analytics capabilities to address forensic accounting and compliance oversight needs