TensorStax
San Francisco, CA
Autonomous AI agents for data engineering pipelines
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
PyTorch, Python, Spark, dbt, Kafka
Perks & benefits
Health insurance, 401k match, Gym membership
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4TensorStax
San Francisco, CA
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.
TensorStax
San Francisco, CA
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.
TensorStax
San Francisco, CA
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.
TensorStax
San Francisco, CA
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.