Senior Agentic Software Engineer

In VIS (Vehicle Information Solutions), an ETAS organization, we are seeking an experienced and innovative Senior Agentic Software Engineer to develop and deploy our next-generation, production-grade AI systems. In this role, you will be responsible for orchestrating robust Python-based back-end architecture, integrating state-of-the-art Large Language Models (LLMs), optimizing high-performance vector databases, and deploying scalable, secure APIs natively on Microsoft Azure. You will work closely with our Original Equipment Manufacturers (OEM) customers to agree on new requirements, develop plans to deliver solutions using Agile processes, and ensure strict adherence to software quality standards throughout the development lifecycle.

VIS is a global ETAS organization supporting leading automotive OEMs and dealer networks with service information, wiring diagrams, technical knowledge, and digital aftersales solutions. VIS is transforming from a traditional technical-content provider into a Vehicle Intelligence partner, leveraging AI, automation, and automotive expertise to support software-defined vehicles and future workshop experience.

Key Responsibilities

• Own problems end-to-end: from understanding the user’s needs through architecture, implementation, verification, and operation.
• Deliver implementation primarily through AI coding agents: translate intent into precise specs, constraints, and acceptance criteria, and supervise multiple agent work streams in parallel.
• Apply human judgment where it matters most: architecture decisions, trade-offs, edge cases, and critical review of agent output - accountable for correctness, security, and maintainability of everything merged.
• Design for verifiability: tests, typed interfaces, CI gates, and evals that allow agent-produced code to be proven correct rather than trusted.
• Work across frontend, backend, infrastructure, DevOps, and data topics as the problem requires.
• Continuously evolve the personal and team development workflow as models and agent capabilities advance.