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.
