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.