Backend Engineer - AI Systems Location: San Francisco (Hybrid)
About TensorStax At TensorStax, we're revolutionizing how mission-critical data infrastructure is managed through cutting-edge, fully autonomous AI systems. Our innovative platform seamlessly combines agentic AI capabilities with large-scale data systems, enabling intelligent orchestration, automated pipeline management, and self-healing infrastructure.
We are actively seeking a talented Backend Engineer to play a vital role in developing the core agent framework that powers TensorStax and facilitates integrations with leading data engineering tools.
What You'll Bring to the Team - Extensive software engineering experience in Python, focusing on high performance, reliability, and distributed systems.
- Hands-on experience in developing agentic AI applications, particularly in domains involving computer control or code generation.
- A proven track record of contributing to open-source agentic frameworks such as LangChain or AutoGen.
- A deep understanding of distributed systems, effective API design, and robust backend architectures.
- A proactive mindset with a high ability to take ownership, navigate ambiguity, and drive projects independently.
- A background as a founder or significant contributor to technical projects is highly regarded.
Bonus Skills - Experience with GoLang for building high-performance backend services.
- A strong grasp of big data transformation processes, including ETL and ELT pipelines.
- Proficiency in using Spark, Airflow, dbt, Kafka, or similar data engineering tools.
- Familiarity with streaming architectures, event-driven systems, and asynchronous processing.
- Experience in optimizing large-scale data pipelines for both performance and cost-effectiveness.
Benefits We Offer - Comprehensive health, dental, and vision insurance fully covered by the employer.
- 401(k) plan with company matching to help you save for the future.
- Access to Bay Club or Equinox facilities in San Francisco for your fitness needs.