Backend Engineer - Data & Agent Platform for Autonomous AI

Tensorstax; San Francisco (CA); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Bay Club or Equinox access

Job summary

TensorStax in San Francisco is seeking a Backend Engineer to build the core data & agent platform. You will design and implement high-performance Python services powering distributed data workflows.

Ideal candidates have hands-on experience with agentic AI applications, open-source contributions to LangChain/AutoGen, and a track record of owning large technical projects. This hybrid role covers autonomy and collaboration across teams.

Qualifications

• Proficient Python backend engineering with a focus on performance and reliability.
• Strong understanding of distributed systems and API design for backend services.
• Active contributions to open-source agentic AI frameworks (e.g., LangChain, AutoGen) a plus.

Skills

Python

Distributed systems

Agentic AI

Open-source contributions

API design

Ownership

Tools

GoLang

Spark

Airflow

dbt

Kafka

Job description

TensorStax in San Francisco is seeking a Backend Engineer to build the core data & agent platform. You will design and implement high-performance Python services powering distributed data workflows.

Ideal candidates have hands-on experience with agentic AI applications, open-source contributions to LangChain/AutoGen, and a track record of owning large technical projects. This hybrid role covers autonomy and collaboration across teams.