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Backend Engineer, Data & Agent Platform at tensorstax.com (San Francisco, CA)

tensorstax.com· San Francisco, CA·

Role details

Work type
Onsite
Employment
Full-Time

Job description

Backend Engineer – Data & Agent Platform Location: San Francisco (Hybrid)

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 are looking for a Backend Engineer to help build the core agent framework powering TensorStax and integrations into popular data engineering tools.

What We’re Looking For:

  • Strong software engineering experience in Python, with a focus on performance, reliability, and distributed systems.
  • Hands-on experience building agentic AI applications, especially in domains such as computer control or code gen.
  • Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen, etc.
  • Deep understanding of distributed systems, API design, and backend architectures.
  • High agency—ability to take ownership, navigate ambiguity, and independently push projects forward.
  • Former founders or engineers who have built and owned significant technical projects are highly valued.

Bonus Points:

  • Experience with GoLang for high-performance backend services.
  • Strong understanding of big data transformation, ETL, and ELT pipelines.
  • Proficiency in Spark, Airflow, dbt, Kafka or other data engineering tools.
  • Familiarity with streaming architectures, event-driven systems, and async processing.
  • Experience optimizing large-scale data pipelines for performance and cost efficiency.

Benefits:

  • 100% employer-covered health, dental, and vision insurance.
  • 401(k) with company match.
  • Access to Bay Club or Equinox in San Francisco.

Why work at tensorstax.com

  • 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.

Application questions