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Autofleet Tech Stack

AI-powered fleet optimization platform for mobility operators

Software Development Tel Aviv, IL 51–200 employees Privately Held

Autofleet operates a fleet optimization platform built on Node.js, React, Python, and GCP, now investing in agentic AI workflows (LangChain, LlamaIndex, Hugging Face) to automate complex routing and dispatch decisions. The hiring mix—senior engineers and data specialists dominating alongside product and support roles—reflects a shift from core platform maintenance toward production AI systems; pain points around scaling cloud infrastructure and five-nines reliability signal they're moving from monolithic optimization toward distributed, real-time agentic agents.

Tech Stack 26 technologies

What Autofleet Is Building

Challenges

  • Optimizing existing operations
  • Maximizing utilization
  • Launch new dynamic business models
  • Optimizing large scale fleets
  • Complex production issues
  • Scaling web applications
  • Maintaining five-nines reliability
  • Scaling cloud infrastructure
  • Ensuring r&d autonomy
  • Maintaining service continuity

Active Projects

  • Autofleet optimization platform
  • Hybrid mobile applications
  • Ai-driven features in the autofleet platform
  • Optimization agentic flows for complex problems
  • Production pipelines for ai models
  • Fleet ops & operational systems
  • Scalable cloud infrastructure implementation
  • Kubernetes platform evolution
  • Self-service tooling development

Hiring Activity

Steady15 roles · 5 in 30d

Department

Engineering
4
Support
3
Data
2
Product
2
Ops
1

Seniority

Senior
8
Lead
2
Mid
2
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About Autofleet

Autofleet is a fleet optimization platform for mobility operators globally, owned by Element Fleet Management. The platform automates dispatch, routing, and utilization decisions across tens of thousands of vehicles in rental, rideshare, shared mobility, logistics, and OEM fleets. The product spans mobile applications (React Native, iOS, Android), cloud infrastructure (GCP, Kubernetes), and backend optimization engines (Python). Current development focuses on AI-driven features, production pipelines for ML models, and kubernetes platform infrastructure to support large-scale fleet operations.

HeadquartersTel Aviv, IL
Company Size51–200 employees
Hiring MarketsIsrael, India

Frequently Asked Questions

What technology stack does Autofleet use?

Node.js, React, Python, PostgreSQL, MongoDB, GCP, Kubernetes, Terraform, and LangChain/Hugging Face for AI workflows.

What is Autofleet working on?

AI-driven optimization features, agentic flows for complex routing problems, production ML pipelines, hybrid mobile applications, and Kubernetes platform evolution.

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