Principal Software Engineer - Full Stack - AI

Anaplan·Yorksenior

In short

→Ingeniero de software principal full stack con enfoque en IA generativa y agentes autónomos.
→Diseño y despliegue de soluciones de IA escalables, integradas en flujos de planificación empresarial.
→Destacado: liderar la arquitectura de servicios MCP (Model Context Protocol) y agentes de IA autónomos.

Proficiency in English required for collaboration across global teams.

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What they ask for

✓Experiencia comprobada en ingeniería full stack con dominio en frontend (React/TypeScript) y backend (Python, Java, Kotlin o Node.js).
✓Conocimiento práctico en desarrollo de features de IA generativa en producción.
✓Experiencia construyendo y orquestando agentes de IA autónomos con integración de herramientas y LLMs.
✓Habilidades en diseño de arquitectura de sistemas escalables y de alta disponibilidad.
✓Experiencia con observabilidad, evaluación y optimización de modelos LLM (latencia, caching, monitoreo).
✓Capacidad de mentoría técnica y liderazgo en equipos de ingeniería.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

ReactTypeScriptPythonJavaKotlinNode.jsLLMsMCP (Model Context Protocol)API ServicesAgent Orchestration

Who should you write to at Anaplan?

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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, LinkedIn, 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 celebrating our 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. Your Impact • 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/TypeScript) 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. Qualifications • Experie

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