Senior AI Engineer

Company DescriptionAbout UsRepRisk is the world's most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Our mission is to provide transparency on business conduct risks to drive positive change. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk's solutions bring performance and peace of mind, enabling clients to know more, be sure, and act faster. With our values of intellectual honesty and humility, operational excellence, and openness and respect, our diverse teams of talented experts are pioneering solutions that enable clients to make better informed decisions. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive and meaningful change through transparency. We offerAn entrepreneurial, international, and dynamic work environmentA shared mission to drive accountability and responsible behavior of companies, thus creating positive changeA company that embraces diversity, because life would be boring if we were all the sameJob DescriptionAbout You Are you looking for an opportunity to work on meaningful, cutting-edge projects in machine learning? Did you wonder what it would be like to work at a company where your contribution has a real, measurable impact – and you are rewarded for it? If you have a knack for data and aspire to contribute to ethical tech development, then this is the perfect role for you We value autonomy, allowing you to bring your innovative ideas to fruition in an inclusive, feedback-oriented environment. Your work on AI agents and will directly contribute to advancing corporate responsibility through technology. Your Responsibilities As our new Senior AI Engineer, you will play a crucial role in developing state-of-the-art agentic systems and AI integrations within RepRisk's Agentic delivery team. You will contribute to the design, implementation and operation of agentic and AI products within the company. Moreover, you will be: Designing and building agentic AI features that leverage memory, planning, and tool-use to solve real-world business problems. Developing, integrating, and maintaining LLM-powered microservices and pipelines as part of broader production applications. Fine-tuning foundation models and training custom models for perception, reasoning, and decision-making tasks. Identifying, testing, and implementing state-of-the-art advancements in LLMs and autonomous agent architectures (e.g., tool-use, reflection, multi-agent coordination). Ensuring robust performance through continuous evaluation, optimization, and A/B testing of AI components. Maintaining a well-balanced tech stack that prioritizes both simplicity and efficiency. Collaborating closely with product managers, designers, and domain experts to align technical solutions with user needs and business goals. Mentoring and guiding team members, fostering a collaborative engineering culture. Participating in technical design reviews and code reviews to uphold high engineering standards. Contributing actively to a cross-functional Scrum team, sharing insights and driving innovation from concept to deployment. QualificationsYou Offer A Master's degree or higher in Computer Science, Engineering, Statistics, or a related STEM field (or equivalent practical experience). 4+ years of hands-on experience as a Machine Learning Engineer, AI Engineer, or similar role in an industry setting. Proven experience in building or integrating agentic AI systems, such as autonomous agents, workflow automation, or reasoning-driven LLM applications. Expert-level Python skills and fluency with key ML/AI libraries (e.g., HuggingFace, LangChain, etc.). Hands-on experience fine-tuning, deploying, and monitoring LLMs in production environments. Practical experience building and managing scalable, data-driven microservices and pipelines. Strong grounding in software engineering best practices and clean, maintainable code. Familiarity with cloud platforms (AWS or Azure), CI/CD workflows, and containerized environments. A proactive mindset with the initiative to drive ideas from concept to production independently and as a team leader. Effective mentorship skills and the ability to provide thoughtful, constructive feedback. A structured, analytical approach to problem-solving, with a focus on delivering practical and maintainable solutions. Excellent communication and collaboration skills, with professional fluency in English.Additional InformationPlease note that we will only consider candidates with a valid work permit.