Full Stack AI Engineer at Jobs for… · London

companyDescription The RRS Group, and its affiliated entities (collectively, “RRS”) have provided real estate development and related services to investment-grade clients for decades. Our expertise encompasses site acquisition, architectural design, and development management for commercial office and industrial properties. Through an integrated service model, RRS delivers comprehensive enterprise solutions that address every phase of the building lifecycle. In addition to technical excellence, we offer strategic consulting in marketing, financial planning, and facility management ensuring that every project achieves its highest potential in performance, value, and sustainability. Commitment to Community For over two decades, RRS has maintained a strong commitment to the communities we serve. This commitment is further advanced through the RRS Making Lives Better Foundation, which provides meaningful support and resources to individuals and families in need. The Foundation reflects our belief that corporate success carries a responsibility to contribute positively to society and to improve the quality of life in the regions where we operate. Our Core Values Integrity | doing the right thing when no one is watching and acting with uncompromising honesty. We believe in maintaining lasting relationships based on honesty, consistency and the highest ethical standards. This creates credibility in our personal and professional relationships. Caring | showing concern, empathy and compassion for others, ourselves, and our environment. Our care shows itself in our commitment to “safety first” in all we do. We encourage each other to be the best and hold each other accountable. We help those in need, contribute to the communities in which we work and develop creative ways to be responsible with our resources. Integration | working unselfishly toward common goals across disciplines, teams, departments and regions. Our collective contributions are greater than our skills. We will be transparent and understand each other’s expertise to provide the most value when delivering our services to one another and our clients. Innovation | developing new ideas and applying the solutions that differentiate us in valuable ways. We are not comfortable with the status quo. We remain accountable for continuous improvements in our results because we do not consider innovation an end in itself. We maintain an environment where we foster new ideas and encourage changes that help us improve. If you share these core values, we have the right opportunity for you Application Submission deadline: May 10, 2026 Submit your application through our career site:https://www.myrrsgroup.org/careers/ jobDescription We're seeking a Full Stack AI Engineer who can design, build, and ship AI-powered products end-to-end  from data layer to user interface. This role is for a builder who thrives at the intersection of modern app engineering and applied AI, and who wants to create products that directly improve how real estate assets are managed, leased, and optimized across a multi-billion dollar global portfolio. You will work across the stack — building performant frontend experiences, robust backend services, and integrating AI/ML capabilities including LLMs, predictive models, and intelligent automation. You'll ship features that are used by property managers, owners, investors, and residents. What You’ll Do Build AI-Powered Products End-to-End Build and integrate AI/ML capabilities into production applications — including LLM-powered workflows, MCP tool integrations, retrieval-augmented generation (RAG), and predictive analytics. Own features from concept through deployment: frontend UI, API design, backend services, data pipelines, and AI model integration. Rapidly prototype and iterate on AI-driven features, moving from proof of concept to production with speed and quality. Engineer for Scale and Performance Build responsive, accessible frontend interfaces using modern frameworks (React/Next.js or similar). Design and implement scalable backend services and APIs (Python, Node.js, or similar) that serve both human users and AI agents. Work with cloud infrastructure (Azure preferred) including serverless functions, container orchestration, and managed AI/ML services. Ensure production systems are reliable, observable, and secure — with appropriate monitoring, logging, and error handling. Collaborate and Ship Partner with Product Management, Design, Business owners, and Data Engineering to define and deliver high-impact features. Participate in architectural decisions that affect the broader platform, advocating for simplicity, maintainability, and AI-readiness. Collaborate with other engineers on AI integration patterns, prompt engineering, and modern development practices. We are an AI forward team and it’s moving fast so we test, iterate, share and repeat. qualifications What You Bring Engineering Excellence 5+ years of professional software engineering experience shipping production applications. Strong proficiency in both frontend (React, TypeScript, modern CSS) and backend (Python, Node.js, or Go) development. Deep experience with AI coding tools like Cursor, Codex, Claude Code, etc. Experience designing and building RESTful APIs, microservices, and event-driven architectures. Solid understanding of relational and non-relational databases, caching strategies, and data modeling. Experience with CI/CD pipelines, infrastructure as code, and cloud platforms (Azure preferred, AWS/GCP acceptable). AI/ML Integration Hands-on experience integrating LLMs (OpenAI, Anthropic, or similar) into production applications — including prompt engineering, function calling, and agent workflows. Familiarity with RAG architectures, vector databases, embedding models, and MCP (Model Context Protocol) or similar tool-use patterns. Understanding of when to build vs. buy AI capabilities and how to evaluate AI vendor tools critically. Personal projects or portfolio demonstrating AI-powered applications you’ve built — we want to see what you’ve shipped. Domain Knowledge (Preferred) Experience in real estate, property management, or asset management is a strong plus. Familiarity with marketplace or multi-sided platform products. Experience working in data-intensive environments where data quality and governance matter. Mindset & Communication AI-first mindset — you naturally look for opportunities to automate, augment, and accelerate with AI in your daily work and product development. Strong written and verbal communication skills; able to explain technical trade-offs to non-technical stakeholders. Comfort with ambiguity and a bias toward shipping iteratively over waiting for perfection. Collaborative approach; you work well across product, design, data, and business teams. What’s Next? To be considered for the Full Stack AI Engineer role, candidates must submit a complete and thoughtful application. This includes a current resume, and a short video (2–5 minutes) demonstrating how you have utilized AI tools within your engineering workflow (e.g., code generation, debugging, system architecture, or documentation). You may record your video using Loom (free) or upload it as an unlisted YouTube link. Application Requirements: The video link must be added in Step 1 of the application process and embedded at the top of your resume. It is important to complete all relevant application questions to provide a comprehensive overview of your background and experience. Applications that do not include a video link will not be considered. Your application and resume serve as an initial introduction. Our team will review submissions to determine whether candidates meet the required criteria. If you meet the minimum qualifications, you will receive an email invitation to complete a video interview assessment. This step is required and provides an opportunity to further highlight your experience and bring your resume to life for our recruiting team and hiring managers. additionalInformation What can you expect from us: Opportunities to learn and develop every day through a wide range of programs. Internal digital platforms that promote self-learning. Development programs according to Leadership skills. Specialized training according to the role. Learning experiences with internal and external providers. We love to celebrate success, which is why we have recognition programs for seniority, behavior, leadership, moments of life, among others. Financial wellness programs that will help you reach your goals in all stages of life. A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle. And because your family is also important to us, they can also enjoy benefits such as our WellnessLine, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others. Work Hours: Varies upon the needs of the global department. RRS Company is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. RRS will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. RRS Group will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. #TransformingSpacesBuildingFutures #Remote