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.
