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Remote, popular AI internship and early-career target makes applicant competition high.
Core ML and LLM skills are transferable, but agent/alignment specialization raises domain specificity.
Requires demonstrated Python and LLM experience but no strict years, so moderate selectivity.
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Develop and prototype real-world agentic AI systems across applied, research, and product tracks with measurable impact.
Contribute to enterprise AI agent workflows, R&D on agent architectures and evaluations, or product tooling to enhance researcher and user productivity.
Deliver outcomes such as production-grade components, research papers, benchmarks, internal tools, or product prototypes in agentic AI.
Strong programming skills, preferably in Python.
Hands-on experience with large language models (LLMs) or AI systems.
Strong interest and experience in agents, evaluation, alignment, interpretability, or enterprise AI.
Work Experience Required: Not explicitly mentioned in the JD.
Capable of independently exploring ambiguous, open-ended agentic AI problems and quickly building prototypes.
Able to contribute across applied AI systems, research-quality insights, and product tooling relevant to agentic AI.
Experience or interest in agent frameworks, long-horizon agents, evaluation pipelines, research projects, backend systems, or AI safety and interpretability.