AI Engineer

• Build and ship AI product features with a focus on reliability, usability, and measurable impact.
• Design agentic workflows that transform written requirements into executable Java code; contribute Python components that orchestrate these steps end‑to‑end.
• Clean, curate, and document datasets; implement robust data pipelines and quality checks for repeatable experimentation.
• Evaluate and test model outputs (functional, performance, edge cases); create reproducible experiments and automated tests.
• Explore emerging AI tools (LLMs, vector databases, frameworks) and recommend practical upgrades to our stack.
• Develop Jupyter notebooks for prototyping, analysis, and communicating results to non‑technical stakeholders.
• Implement retrieval‑augmented generation (RAG) patterns to ground models in trustworthy data.
• Use Git/GitHub for version control, code reviews, and collaborative development; contribute clear documentation.
• Partner with cloud and security teams to ensure solutions follow modern practices for privacy, accessibility, and compliance.

Artificial Intelligence Engineer – Intern

Lead AI Engineer

Lead Full-Stack GenAI Platform Software Engineer

AI Engineer

AI Architect