Principal Software Engineer (Full Stack, AI)

Join our team as a Principal Software Engineer, where you will lead the architecture, design, and deployment of scalable Generative AI solutions. This role requires deep software engineering expertise across both frontend and backend development, as well as hands-on experience building production-ready GenAI features. You will bridge the gap between backend APIs, custom MCP services, agentic workflows, and responsive modern user interfaces to deliver intelligent, automated planning experiences for our global customers.

- Architect, design, and deploy scalable Generative AI solutions, autonomous AI agents, and full-stack services into production environments. - Build comprehensive GenAI features including backend API services, custom tools, LLM model integration, and evaluation harnesses. - Drive best practices across the full stack, guiding the development of responsive frontend applications and robust, scalable backend services.

- Experience: Extensive professional software engineering experience, with a proven track record of delivering complex, high-quality technical projects in a senior or principal role - AI & Agentic Production Exposure: Deep hands-on experience designing, deploying, and scaling agentic AI workflows, tool integrations, and GenAI features in production environments - Full-Stack Expertise: High proficiency in modern frontend frameworks (specifically React and TypeScript) and robust backend development languages (Python, Java/Kotlin, or Node.js) - System Observability & Quality: Strong experience with application observability, logging, and performance monitoring across distributed backend systems and frontend applications - GenAI & MCP Knowledge: Deep understanding of LLM APIs, prompt engineering, agentic/multi-agent architectures, and building/consuming Model Context Protocol (MCP) services - Communication & Collaboration: Exceptional communication skills with a demonstrated ability to collaborate across engineering, product, and design teams to take ideas from prototype to production - Observability Tooling: Experience with GenAI observability and evaluation tools - Agentic Tools & Frameworks: Hands-on experience with agent orchestration frameworks and integrating AI agents with enterprise platforms - Industry Domain: Previous experience in Enterprise Performance Management (EPM), financial planning, business analytics, or related enterprise SaaS environments - Community Contributions: Contributions to open-source agent frameworks, MCP servers, or published research in distributed systems or Generative AI