Principal Software Engineer - Full Stack - AI

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, Linked In, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins – big and small.

Supported by operating principles of being strategy-led, values
-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

We are seeking a versatile and highly skilled Principal Software Engineer who can work seamlessly across our frontend and backend services—from designing highly performant, intuitive modern user interfaces to building robust API services, Model Context Protocol (MCP) services, and autonomous AI agents. In this role, you will lead the architecture, design, and deployment of scalable Generative AI solutions, ensuring seamless integration into our core planning workflows.

This is a unique role requiring deep software engineering expertise across both frontend and backend development, combined with 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.

• Technical Leadership & System Architecture: Architect, design, and deploy scalable Generative AI solutions, autonomous AI agents, and full‑stack services (frontends and backend services) into production environments.
• End‑to‑End GenAI Development: Build comprehensive GenAI features including backend API services, custom tools, LLM model integration, and evaluation harnesses.
• AI Agents & MCP Integration: Design, build, and maintain Model Context Protocol (MCP) servers and services that securely expose backend data and enterprise tools to agentic AI workflows. Implement robust orchestration, tool‑calling capabilities, and multi‑agent coordination.
• Full‑Stack Engineering: Drive best practices across our full stack, guiding the development of responsive frontend applications (React/Type Script) and robust, scalable backend services (Python, Java, Kotlin, or Node.js).
• LLM Observability & Reliability: Establish robust LLM observability, evaluations, and caching, implementing latency optimisations and comprehensive monitoring (logging, usage tracking, agent behaviour).
• Operational Excellence: Champion high availability, performance optimisation, and observability across frontends and backend microservices, focusing on practices that maintain platform reliability and optimise MTTD and MTTR.
• Mentorship &
  
  Collaboration:
  
  Elevate the engineering organisation by mentoring senior and junior engineers, conducting rigorous code and system design reviews, and partnering with product managers to translate product visions into actionable technical roadmaps.

• 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 Type Script) and robust backend development languages (Python, Java/Kotlin, or Node.js).
• GenAI & MCP Knowledge: Deep understanding of LLM APIs, prompt engineering, agentic/multi‑agent architectures, and…