Backend Engineer, Data & Agent Platform
Build core agent framework for autonomous AI data infrastructure using Python and distributed systems. Requires experience in agentic AI apps, open-source contributions like LangChain/AutoGen, and backend architecture design.
About the job
Responsibilities
- Build the core agent framework powering TensorStax.
- Develop integrations into popular data engineering tools.
Requirements
- Strong software engineering experience in Python, focusing on performance, reliability, and distributed systems.
- Hands-on experience building agentic AI applications (e.g., computer control or code gen).
- Track record of contributions to open-source agentic frameworks such as LangChain, AutoGen.
- Deep understanding of distributed systems, API design, and backend architectures.
- High agency to take ownership, navigate ambiguity, and push projects forward independently.
Nice-to-Haves
- 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.
Skills
Python, LangChain, Autogen, Distributed Systems, API Design, Go, Spark, Airflow, dbt, Kafka
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