---
title: 'Frontend Engineer Internship at tensorstax.com'
canonical: 'https://feeny.ai/job/frontend-engineer-internship-tensorstax-com-san-francisco-p2fsjzkacnkr'
type: 'job'
last_seen: '2026-09-09'
---

# Frontend Engineer Internship at tensorstax.com

- **Company:** tensorstax.com
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-05-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.gem.com/tensorstax-com/am9icG9zdDoFKcVA0FuZBarT-fLJ-tha

## Job description

Location: Remote

## About TensorStax

TensorStax is building fully autonomous AI systems to manage and optimize mission-critical data infrastructure. Our platform integrates agentic AI capabilities with large-scale data systems, enabling intelligent orchestration, automated pipeline management, and self-healing infrastructure.

We're looking for a Frontend Engineer Intern to help build and refine the interactive frontend powering our agent framework, data orchestration dashboard, and real-time visualizations.

## What We’re Looking For

- Experience with Next.js and React, with a strong grasp of modern frontend architecture
- Familiarity with Redux or other advanced state management libraries
- Ability to implement real-time updates using WebSockets or similar technologies
- Comfortable working with complex animations and dynamic UI transitions
- Understanding of component-driven development and scalable UI patterns
- Strong interest in building systems that respond to real-time event streams

## Nice to Have

- Experience with design tools like Figma or a strong product/design sensibility
- Exposure to agentic or AI-powered user experiences
- Familiarity with collaborative, multi-user web environments

## Benefits

- Mentorship from senior engineers building autonomous AI systems
- Potential pathway to a full-time role upon completion

## About tensorstax.com

## Company Overview
- **One-liner**: TensorStax provides an autonomous AI agentic platform that builds, validates, and maintains production-grade data pipelines directly on a company's existing infrastructure.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Year not publicly specified, but active by 2025.
- **Founders**: Not publicly listed on main sources.

## Core Business
- **Primary industry**: Software Development / Artificial Intelligence / Data Engineering
- **Target customers**: Enterprise data engineering teams, data platform teams, and any organization running complex data pipelines on modern data stacks (Snowflake, BigQuery, Redshift, Databricks, etc.).
- **Mission**: To make advanced data infrastructure accessible to all companies by addressing the critical shortage of specialized talent, and to supercharge the rigid domain of data engineering with autonomous AI [globenewswire.com](https://www.globenewswire.com/news-release/2025/05/12/3078960/0/en/tensorstax-raises-5m-to-build-deterministic-ai-agents-for-data-engineers.html).

## Products & Services
- **[Agentic Data OS / Platform]**: A SaaS platform that uses autonomous AI agents to plan, generate, and maintain production-grade data pipelines. It integrates directly with existing tooling (dbt, Airflow, Spark, Snowflake, BigQuery, Databricks) and runs in the customer's own cloud. Features include:
    - **Pipeline Generation**: AI generates structured pipeline plans and code based on infrastructure and schemas.
    - **LLM Compiler**: A proprietary deterministic control layer that validates syntax, resolves dependencies, and normalizes tool interfaces, claiming to boost agent success rates from 40-50% to 85-90% [globenewswire.com](https://www.globenewswire.com/news-release/2025/05/12/3078960/0/en/tensorstax-raises-5m-to-build-deterministic-ai-agents-for-data-engineers.html).
    - **Self-Healing**: Detects pipeline failures and automatically creates GitHub pull requests to fix failing code.
    - **Modeling & Testing**: Auto-generates dbt models, tests, and assertions with strong schema typing.
    - **Security**: SOC2 Type 2 compliant, integrates with HashiCorp Vault for credential management, supports self-hosted deployment, and adheres to GDPR and RBAC. The platform never stores or accesses raw data, only metadata and code [tensorstax.com](https://www.tensorstax.com/?tpcc=NL_Marketing).

## Market Standing
- **Valuation/Market Cap**: Not disclosed.
- **Key Metric**: **$5.3M** in total funding.
- **Funding Round**: Seed Round (announced May 12, 2025), led by **Glasswing Ventures**, with participation from **Bee Partners** and **S3 Ventures** [globenewswire.com](https://www.globenewswire.com/news-release/2025/05/12/3078960/0/en/tensorstax-raises-5m-to-build-deterministic-ai-agents-for-data-engineers.html).
- **Headcount**: ~4 employees [linkedin.com](https://linkedin.com/company/tensorstax).
- **LinkedIn Followers**: Over 12,400 (YoY growth of +126%), indicating strong brand interest despite a tiny team [linkedin.com](https://linkedin.com/company/tensorstax).
- **Growth Signals**: Very early-stage, post-Seed with a clear product-market fit hypothesis. High interest from the data community. The company’s technology (LLM Compiler) is a potential key differentiator in a hot market (AI for Data Engineering).

## Competitive Advantages
- **Deterministic AI for a Strict Domain**: Unlike general-purpose coding assistants, TensorStax’s proprietary LLM Compiler is purpose-built for the constraints of data engineering, resulting in much higher success rates in production environments (85-90% vs. 40-50% for generic models) [globenewswire.com](https://www.globenewswire.com/news-release/2025/05/12/3078960/0/en/tensorstax-raises-5m-to-build-deterministic-ai-agents-for-data-engineers.html).
- **Deep Native Integration**: The platform integrates directly with an enterprise's *existing* data stack, rather than requiring a new platform or re-architecting work. This is a major practical advantage for enterprise adoption.
- **Security-First Architecture**: By never storing raw data and operating only on metadata, the platform solves the core security and compliance objection that kills many AI-for-data plays in larger enterprises.

## Strategic Focus
- **Scaling the Engineering Team**: Actively hiring for key technical roles (Research Engineer, Frontend Engineer, Interns) to build out the core platform and AI capabilities [builtin.com](https://builtin.com/company/tensorstax/jobs).
- **Accelerating Product Development**: The $5.3M seed round is explicitly earmarked for this purpose [globenewswire.com](https://www.globenewswire.com/news-release/2025/05/12/3078960/0/en/tensorstax-raises-5m-to-build-deterministic-ai-agents-for-data-engineers.html).
- **Enterprise Adoption**: Focused on demonstrating value to early adopters and building a repeatable sales motion for enterprise data teams.

## Why Work Here
- **High-Impact, Early-Stage Environment**: With only 4 employees, any new hire (especially in engineering/research) will have an outsized impact on the product, culture, and technical direction.
- **Cutting-Edge Problem**: The work sits at the intersection of AI, systems engineering, and data infrastructure, offering significant learning opportunities and challenging technical problems.
- **In-Office Culture**: All posted jobs are located in San Francisco, CA (HQ), suggesting a preference for in-person collaboration.
- **Strong Backing**: Backed by top-tier VC Glasswing Ventures, providing financial runway and strategic support for the next phase of growth.
- **Opportunity for Growth**: Joining a team with huge LinkedIn following growth and a hot product idea means potential for rapid career advancement as the company scales.

## Sources
1. [tensorstax.com](https://www.tensorstax.com/?tpcc=NL_Marketing)
2. [builtin.com](https://builtin.com/company/tensorstax/jobs)
3. [linkedin.com](https://linkedin.com/company/tensorstax)
4. [globenewswire.com](https://www.globenewswire.com/news-release/2025/05/12/3078960/0/en/tensorstax-raises-5m-to-build-deterministic-ai-agents-for-data-engineers.html)

## Other roles at tensorstax.com

- [Research Engineer Intern, Evaluations](https://feeny.ai/job/research-engineer-intern-evaluations-tensorstax-com-san-francisco-hbe0m5zncybc) — San Francisco, CA
- [Backend Engineer, Data & Agent Platform](https://feeny.ai/job/backend-engineer-data-agent-platform-tensorstax-com-san-francisco-c5k22xqjdww2) — San Francisco, CA
- [Research Engineer, Reinforcement Learning](https://feeny.ai/job/research-engineer-reinforcement-learning-tensorstax-com-san-francisco-gys442sy11x4) — San Francisco, CA