AI Agent Engineer Intern

Batch: 2025/2026/2027. Responsibilities: - Explore open-ended agentic AI problems and convert ideas into working prototypes, experiments, research artifacts, or product capabilities. - Build applied agents, design evaluations, create harnesses, experiment with planning and memory architectures, and analyze failures. - Expected outcomes include production-grade applied components, research papers, benchmarks, internal tools, or product prototypes. Requirements: - Strong programming skills, preferably in Python. - Hands-on experience with LLMs or AI systems, and a strong interest in agents, evaluation, alignment, interpretability, or enterprise AI. - Comfortable working on ambiguous problems, reading technical papers, and documenting findings clearly. - Bonus: Experience with agent frameworks, long-horizon agents, evaluation pipelines, research projects, backend systems, enterprise data, AI safety.