Principal Software Engineer - Full Stack - AI

Anaplan; Manchester; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Anaplan is seeking a Principal Software Engineer to shape scalable GenAI-driven planning solutions across frontend and backend systems. You will architect and implement autonomous AI agents and MCP-enabled workflows, bridging React/TypeScript frontends with robust Python/Java/Kotlin backends.

You will lead architecture discussions, ensure production-grade reliability, and mentor engineers while collaborating with product and design teams to translate vision into robust roadmaps for global

Qualifications

• Extensive senior/principal software engineering experience.
• Hands-on GenAI flows and agentic production exposure.
• Full-Stack expertise: frontend (React/TypeScript) and backend (Python/Java/Kotlin/Node.js).
• Deep knowledge of LLM APIs, MCP services, and agentic architectures.
• Strong observability, logging, and performance monitoring across distributed systems.
• Excellent cross-functional collaboration with product and design teams.
• Contributions to open-source agent frameworks or related research.

Responsibilities

• Architect and deploy scalable GenAI solutions, autonomous AI agents, and full-stack services.
• Build backend API services, tools, and model integrations for production use.
• Design MCP servers and enable agentic workflows with orchestration and tool-calling capabilities.
• Lead full-stack development of responsive frontend apps and robust backend services.
• Establish observability, monitoring, and reliability across frontend and backend.

Skills

GenAI development

React

TypeScript

Python

Java

Kotlin

System architecture

Tools

React

TypeScript

Python

Java

Kotlin

Node.js

Job description

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 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.

Your Impact

• Technical Leadership & System Architecture: Architect, design, and deploy scalable Generative AI solutions, autonomous AI agents, and full-stock 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

• 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).
• GenAI & MCP Knowledge: Deep understanding of LLM APIs, prompt engineering, agentic/multi‑agent architectures, and building/consuming Model Context Protocol (MCP) services.
• System Observability & Quality: Strong experience with application observability, logging, and performance monitoring across distributed backend systems and frontend applications.
• Communication & Collaboration: Exceptional communication skills with a demonstrated ability to collaborate across engineering, product, and design teams to take ideas from prototype to production.
• Agentic Tools & Frameworks: Hands‑on experience with agent orchestration frameworks and integrating AI agents with enterprise platforms.
• Observability Tooling: Experience with GenAI observability and evaluation tools.
• 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.

Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.