Intern - Artificial Intelligence

Job Description:

Responsibilities

• Use-case discovery & requirements
• Partner with business teams to understand workflows, pain points, and desired outcomes.
• Convert use cases into clear specs: user stories, data needs, constraints, and success metrics (what “good” looks like)
• Build prototypes using AI tools & lightweight engineering
• Rapidly build POCs/MVPs using AI tools and LLM APIs.
• Build simple internal apps or utilities (scripts, dashboards, small web apps) to prove value quickly.
• Experimentation & evaluation
• Run comparisons across model/tool choices; document findings and recommend what to scale.
• Create small test sets / evaluation rubrics so the team can measure quality over time.
• Knowledge management support (migration + automation)
• Support KM data migration and cleanup (structuring and tagging metadata) to make the knowledge base easily discoverable and usable via Gemini.
• Assist with pilots for internal KM search workflows (e.g., controlled testing before org-wide rollout)

Qualification & Experience

• Curiosity, speed, and willingness to iterate based on feedback.
• CS / IS (or equivalent) background; comfortable writing code (Python/ JavaScript).
• Familiarity with LLM APIs, prompt engineering, embeddings, RAG, building basic web apps.
• Ability to talk to non-technical stakeholders, capture requirements, and explain trade-offs.
• Outcome-oriented, comfortable with ambiguity, and able to ship incremental improvements.