Senior Backend Engineer - Python - Remote

Job Details

Posted on: 
July 9, 2026
Job ID:
O5j8UJ

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide. 

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

  • Our client is an applied AI lab building semantic AI that can actually think with you — LLM agents grounded in formal knowledge representations and sound reasoning.
  • Their systems combine multilayered knowledge graphs with advanced reasoning agents to analyze highly complex domains with scholarly precision, in settings where agents need a deep context layer to understand their environment and take the right actions: scientific research, enterprise knowledge, and beyond.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

  • 7+ years of backend engineering experience.
  • Strong proficiency in Python.
  • Deep understanding of distributed systems and cloud-native environments.
  • Experience architecting, developing, and deploying Kubernetes-based systems.
  • Strong experience with data pipelines and SaaS architectures.

Scope of work:

  • Architect and implement scalable backend services and multi-tenant SaaS systems.
  • Design and operate high-throughput data pipelines (batch and streaming) feeding knowledge-graph construction and retrieval.
  • Build the API and service layer through which our products consume LLM inference, retrieval systems, and knowledge graphs.
  • Own reliability, observability, security, and cost across our Kubernetes-based, cloud-native environment.
  • Work alongside researchers and AI engineers to productionize research-grade systems into robust distributed services.

Why ALLSTARSIT?

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