Backend Engineer, Data & Agent Platform
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Before you apply
LocationSan Francisco, CA, San Francisco, United States
Work modehybrid
Typefull-time
DepartmentEngineering
Company size4+ people
PostedMar 17, 2025 · 1y ago
Verified live18h ago
May no longer be actively hiring
Posted by the company on Mar 17, 2025
At a glanceSummarised by Seekless from the posting.
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.
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.
Skills
Python
LangChain
AutoGen
GoLang
Spark
Airflow
dbt
Kafka
Benefits
Health insurance
Dental insurance
Vision insurance
401(k)
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.
About the role
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.
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