Frontend Engineer Internship
Build and refine interactive frontend for agent framework, data dashboard, and real-time visualizations using Next.js and React. Implement state management, WebSockets, animations, and scalable UI patterns.
Autonomous AI agents for data engineering pipelines
TensorStax builds a platform using AI agents to autonomously plan, generate, validate, and maintain production data pipelines. It integrates with tools like dbt, Airflow, Spark, Snowflake for data engineers managing complex workflows. This automates manual tasks, enables self-healing infrastructure, and accelerates data operations.
Build and refine interactive frontend for agent framework, data dashboard, and real-time visualizations using Next.js and React. Implement state management, WebSockets, animations, and scalable UI patterns.
Designs evaluation frameworks and benchmarks to test AI agents' autonomy, reasoning, and reliability in data pipelines and warehouses. Requires experience in LLM benchmarking, reinforcement learning, Python, PyTorch/JAX, and data engineering tools.
Build core agent framework for autonomous AI data infrastructure using Python and distributed systems. Requires experience in agentic AI apps, open-source contributions like LangChain/AutoGen, and backend architecture design.