Autofleet

SaaS platform for EV fleet optimization

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeTel Aviv-Yafo, IsraelNo salary listedHybrid

About the Job

Requirements

A bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline is required.
At least 5 years of software engineering experience, including the ability to build production-grade systems beyond research, experimentation, or prompt engineering, is required.
Hands-on experience building and operating production-grade artificial intelligence and large language model systems is required; agentic workflows, tool-calling, orchestration, evaluations, or multi-step reasoning systems are cited as ideal areas of experience.
Strong backend expertise, including Python, distributed systems, and cloud-native architecture, is required.
Familiarity with the AI agents ecosystem, including different large language model providers, vector store solutions, MCPs, and A2A, is required.
Familiarity with REST APIs and integrating external data sources is required.

Responsibilities

Design, build, and deploy AI agents that automate and augment high-value workflows across business functions.
Own the end-to-end agent stack, including tool use, memory management, multi-step planning, human-in-the-loop escalation patterns, guardrails, and audit trails.
Define agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact, then iterate on agent behavior using real usage data and stakeholder feedback.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with engineering teams to design, build, and maintain production pipelines.

AI Engineer

Autofleet · Tel Aviv-Yafo, Israel (Hybrid) · — · Posted 2026-09-22

Workplace: hybrid

Department: Data Science

Description

We are making the future of Mobility come to life starting today.

At Autofleet we support the world's largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.

We are looking for a talented AI Engineer to help us develop advanced AI solutions that will empower impactful projects. The Data Science team leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product and optimize processes.

What You’ll Do

Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails and audit trails.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.
Collaborate with engineering teams to design, build, and maintain production pipelines.

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.
5+ years of software engineering experience, with proven ability to build production-grade systems beyond research, experimentation, or prompt engineering.
Hands-on experience building and operating production-grade AI/LLM systems, ideally including agentic workflows, tool-calling, orchestration, evaluations, or multi-step reasoning systems.
Strong backend expertise, including Python, distributed systems, and cloud-native architecture.
Familiarity with the AI Agents ecosystem, including different LLM providers, vector store solutions, MCPs, A2A and more.
Familiarity with REST APIs and integrating external data sources.

Apply

Apply at Autofleet

About the Company

Autofleet

SaaS platform for EV fleet optimization

Autofleet provides a software-as-a-service platform for electric vehicle (EV) fleet management. It helps car-sharing services, logistics companies, and other mobility operators optimize their EV fleets by automating charging and planning routes, plus delivering real-time efficiency insights. The platform works by dynamically selecting charging times and locations based on vehicle range and demand, and by calculating the most efficient routes using multiple factors. It also offers dashboards that track more than 30 key performance indicators (KPIs) to support data-driven decisions. Compared with others in the space, Autofleet focuses specifically on EV fleets and combines automated charging, route optimization, and comprehensive KPI analytics in one system, rather than offering generic fleet tools. The company's goal is to help clients transition to electric fleets and use them more efficiently, reducing costs and improving fleet utilization.

Company size: 51-200
Company stage: Acquired
Total funding: $29.5M
Headquarters: Tel Aviv-Yafo, Israel
Founded: 2017

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