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Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve. Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com ABOUT THE ROLE At Shift, we are building the next generation of AI-driven platform capabilities. We are looking for an experienced, hands-on Staff AI Engineer to serve as the technical anchor for our AI capabilities; someone who is deeply passionate about building, prototyping, and scaling modern AI/LLM systems, while helping shape our broader AI engineering strategy. This is a high-impact, high-visibility role for a senior builder who excels at the intersection of cutting-edge AI technologies (Agentic frameworks, LLM orchestration, MCP, GenAI) and production-grade software engineering . You will work directly with data scientists, software engineers, and product leaders to design, prototype, and ship state-of-the-art AI systems into production. If you are a senior AI engineer looking for the next step in your career -where you can drive architectural strategy and mentor others without giving up hands-on coding and building - this role is for you. WHAT YOU'LL DO • Build & Architect Agentic Systems (Hands-On): Lead by doing. Design, prototype, and build production-ready agentic workflows, custom orchestration layers, and tool-calling integrations using modern frameworks. • Bridge AI & Production Engineering: Move AI prototypes into robust, production-grade microservices on Azure. Ensure AI components are scalable, low-latency, and well-integrated into the broader tech stack. • Implement Next-Gen AI Standards: Experiment with and integrate emerging paradigms into our production stack, including Model Context Protocol (MCP), advanced RAG patterns, vector pipelines, and structured LLM outputs. • Drive AI Quality & LLMOps: Establish and implement operational frameworks for experiment tracking, evaluations, prompt engineering, latency optimization, token budget governance, and model observability. • Influence & Upskill: Act as a technical mentor for agent-focused engineering squads. Lead technical design reviews, set coding standards, and help elevate the team's AI engineering capabilities. • Stay at the Cutting Edge: Continuously benchmark new models, AI tools, and architectures, translating relevant breakthroughs into practical,

Staff AI Engineer - Architecture skills

Don't apply unprepared

Staff AI Engineer - Architecture skills

Don't apply unprepared