Agentic AI PhD Intern: Build Explainable Workflows

Anite

Calabasas (CA)

On-site

USD 70,000 - 77,000

Full time

5 days ago

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Job summary

Keysight is seeking a PhD intern to advance agentic AI systems within engineering workflows in California. You will design an agentic flow, integrate simulation tools, and develop autonomous data analysis with rigorous validation and explainability.

Collaboration with AI research, software engineering, RF design, and test domains is essential. The role emphasizes auditable, reproducible workflows, benchmarking across use cases, and delivering a portfolio-defining project evaluated on reliability

Qualifications

Pursuing or completed a PhD in a technical field with agent systems experience.
Strong Python and software engineering practices with reproducible pipelines.
Hands-on experience building LLM-based agents and tool integration beyond prompts.
Rigorous evaluation of non-deterministic systems with benchmarks and tests.

Responsibilities

Design an agentic flow that configures data prep, model training, and optimization for new use cases.
Integrate tools to connect agent with simulation, data, and analysis systems.
Develop autonomous data analysis to characterize unfamiliar datasets and select setups.
Incorporate explainability showing why configurations were chosen and their impact.
Build guardrails, validation, and budgets to keep runs reliable and transparent.