Agentic AI Researcher

Description At UVeye, we’re on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world’s first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning machine learning, GenAI, and computer vision across the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world. We are looking for an experienced Agentic AI Researcher to join the CTO’s office and help build the agentic backbone that automates work across UVeye, including R&D, product, sales, CS, marketing, finance, ops, legal, PM, and HR. In this role, you will partner with a small, senior research team to take agentic systems from idea to production, with direct visibility on company-wide impact. A day in the life and how you’ll make an impact Design and develop production-grade agentic systems that automate end-to-end workflows across UVeye’s business functions. Research and apply state-of-the-art techniques in tool use, planning, long-horizon reasoning, memory, and multi-agent coordination. Build robust evaluations, guardrails, and observability so agents are safe, measurable, and continuously improving. Partner with function owners to identify high-leverage automation targets, ship working agents, and quantify the workload reduced. Requirements 4+ years of industry experience building production ML/AI systems, with at least 1+ year focused on LLM-based or agentic applications. Hands-on experience with modern foundation models, including prompting, fine-tuning, tool use, and retrieval-augmented generation. Strong software engineering skills in Python and familiarity with common LLM frameworks (LangGraph, DSPy, OpenAI/Anthropic SDKs, or equivalents). Experience designing and running rigorous evaluations for non-deterministic systems. Comfortable in unexplored territory, independent, self-motivated, and a strong communicator across technical and non-technical stakeholders. M.Sc./Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related field, a strong advantage. Publications, patents, or open-source contributions in LLMs/agents, an advantage. Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.