Job VC
Senior Back-End Engineer
Technologies
Description
About the Company
We are building AI systems that combine multilayered, scalable knowledge graphs with advanced reasoning agents to analyze and understand highly complex knowledge domains with scholarly precision.
The Role
We are seeking a Senior Backend Engineer with 7+ years of experience to design and scale the backend infrastructure powering our AI platform.
Key Responsibilities
Architect and implement scalable backend services and multi-tenant SaaS systems
Design and operate high-throughput data pipelines (batch and streaming)
Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs
Productionize research-grade AI systems into reliable distributed systems
Required Qualifications
7+ years of backend engineering experience
Strong experience with data pipelines and SaaS architectures
Strong proficiency in Python
Deep understanding of distributed systems and cloud-native environments
Experience in architecture, development and deployment of Kubernetes based systems
Fluent English
Preferred Qualifications
Go and/or Scala experience
Hands-on experience with LLM systems (RAG, model serving, evaluation)
Experience with knowledge graphs, vector databases, or hybrid retrieval architectures
MS in Computer Science
What We Offer
Technical Innovation:
Lead novel neuro-symbolic architectures with cutting-edge research access
Work Environment:
Flexible arrangements, international travel opportunities
We are building AI systems that combine multilayered, scalable knowledge graphs with advanced reasoning agents to analyze and understand highly complex knowledge domains with scholarly precision.
The Role
We are seeking a Senior Backend Engineer with 7+ years of experience to design and scale the backend infrastructure powering our AI platform.
Key Responsibilities
Architect and implement scalable backend services and multi-tenant SaaS systems
Design and operate high-throughput data pipelines (batch and streaming)
Build APIs and services integrating LLM inference, retrieval systems, and knowledge graphs
Productionize research-grade AI systems into reliable distributed systems
Required Qualifications
7+ years of backend engineering experience
Strong experience with data pipelines and SaaS architectures
Strong proficiency in Python
Deep understanding of distributed systems and cloud-native environments
Experience in architecture, development and deployment of Kubernetes based systems
Fluent English
Preferred Qualifications
Go and/or Scala experience
Hands-on experience with LLM systems (RAG, model serving, evaluation)
Experience with knowledge graphs, vector databases, or hybrid retrieval architectures
MS in Computer Science
What We Offer
Technical Innovation:
Lead novel neuro-symbolic architectures with cutting-edge research access
Work Environment:
Flexible arrangements, international travel opportunities