AI Engineer – Enterprise AI Agents

About the role

Autofleet supports the world's largest vehicle fleet operators and transportation providers in optimizing operations and launching new business models. Its Data Science team leads AI research and innovation, and is looking for an AI Engineer to help develop advanced AI solutions. The role focuses on enterprise AI agents that automate and augment high-value workflows.

Key responsibilities

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

Required profile

• 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.

Required skills

• Strong backend expertise, including Python, distributed systems and cloud-native architecture.
• Familiarity with the AI Agents ecosystem: LLM providers, vector stores, MCPs, A2A and more.
• Familiarity with REST APIs and integrating external data sources.