Data Engineer / AI Engineer (Co-op)
We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of Generative AI and automation. You will have the opportunity to learn and work with cutting-edge technologies within our Agentic Frameworks to refine their usage in a modern Databricks environment. If you are passionate about the future of AI and eager to build "intelligent" systems, we want to hear from you!
Key Responsibilities
- Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.
- AI Training: Provide feedback to enhance and optimize the output of agents.
- Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs.
- Monitor Model Performance: Identify "hallucinations" or inconsistencies in AI responses and suggest improvements for model grounding.
- Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies.
- Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers.
- Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.
Learning & Development Opportunities
- Hands-on training in Generative AI and Agentic technologies.
- Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.
- Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake).
Qualifications
- Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
- Foundational programming skills in Python and an understanding of SQL.
- Familiarity with AI concepts through coursework or personal projects.
- Excellent problem-solving skills and a high degree of technical curiosity.
- Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.
Join our talent community
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