AI Engineer

What you will do:Design & Develop: Architect and implement end-to-end AI Agents and full-stack applications that automate complex business processes. Foundational Engineering: Build and maintain the core AI tech stack, including agent orchestration frameworks, vector database integrations, and RAG (Retrieval-Augmented Generation) pipelines. Cloud Orchestration: Oversee the deployment and management of scalable AI services, selecting and adapting infrastructure to meet stringent requirements for high availability, performance, and efficiency. Strategic Transformation: Act as a key contributor to Sonar’s AI transformation, identifying high-impact opportunities for agentic automation across different departments. Governance & Ethics: Collaborate with cross-functional teams to establish governance, security protocols, and best practices for AI development and data privacy. Full-Stack Ownership: Manage the entire lifecycle of internal tools, from backend logic and LLM prompt engineering to intuitive frontend interfaces for internal users. Experience and qualifications Full-Stack Expertise: Professional experience in full-stack development (e.g., Python, , React, or similar modern stacks). AI Agent Mastery: Proven experience developing and deploying autonomous AI Agents using frameworks such as LangChain, AutoGen, CrewAI, or similar. Automation Roots: A strong background in traditional automation development (e.g., scripting, workflow engines, or RPA) prior to the LLM era, demonstrating a deep understanding of logic-based systems. Cloud Proficiency: Hands-on experience architecting and deploying production-grade applications on any major cloud platform (AWS experience is highly recommended). Architectural Vision: Deep understanding of the specific architectures required for agentic workflows, including state management, tool-calling, and memory systems. Data & AI Skills: Experience with vector databases (e.g., Pinecone, Weaviate), fine-tuning (optional but preferred), and advanced prompt engineering. Collaborative Mindset: Ability to work with non-technical stakeholders to define governance and translate business needs into technical requirements. Growth Mindset: A passion for staying at the forefront of AI research and a desire to continuously evolve your skill set. Additional comments This role is based in Geneva. We are unable to consider candidates unwilling to be in Geneva, but we are willing to relocate the right candidate. We value diversity, equity, and inclusion At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you need any accommodation, please reach out to us at . All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date. We do not currently support visa candidates in the US. Applications that are submitted through agencies or third party recruiters will not be considered.