National Technology Intern
Core
Identify and define high-value agentic use cases, design and implement proof-of-concept agents or multi-agent workflows, and evaluate agent quality and safety.
Role type
Agentic AI Engineer (Intern)
Builds
Proof-of-concept agents, multi-agent workflows, and reproducible benchmarks.
Domain
Generative AI, Agentic Architectures, Enterprise Data
Deliverable
production ML models
Required skills
Agentic architecture design, RAG implementation, API integration, workflow orchestration, model evaluation, risk analysis (prompt injection, hallucination), responsible AI governance, technical documentation, analytical problem solving, software prototyping
Preferred skills
Multi-agent system experience, cybersecurity principles, data governance, observability, stakeholder communication
Technologies
LLMs, Retrieval-Augmented Generation (RAG), APIs, Python (implied by prototyping), enterprise data systems
Responsibilities
Define business objectives and autonomy boundaries for agentic use cases; Test and evaluate agent quality including robustness, safety, and latency; Analyze and mitigate risks like prompt injection and data leakage; Present findings to technical and business audiences
Seniority
Intern