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TensorStax

Autonomous AI agents for data engineering pipelines

data & analyticsSan Francisco, CA1-50AcquiredHybridFounded 2024
About

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.

Tech stack
PythonNext.jsReactPyTorchdbtSparkKafkaReduxWebSocketsJAXSnowflakeBigQueryLangChainGoAirflow
Perks & benefits
100% health insurance401k matchGym membership
Open roles 4

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.

San Francisco, CAFrontend EngineeringOn-siteEntry levelReactRedux

Research Engineer Intern, Evaluations

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.

San Francisco, CAML EngineeringHybridJAXdbt

Backend Engineer, Data & Agent Platform

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.

San Francisco, CABackend EngineeringHybridGodbt

Research Engineer, Reinforcement Learning

Develops RL environments and fine-tunes language models using PPO, DPO, and KTO to enhance agentic capabilities for data infrastructure tasks. Requires deep RL expertise, LLM fine-tuning knowledge, and strong problem-solving skills.

San Francisco, CAML EngineeringHybridPpoDpo