Full Stack AI Engineer

Were 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. Youll ship features that are used by property managers owners investors and residents.

What Youll 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/ or similar).
• Design and implement scalable backend services and APIs (Python 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 its 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 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 youve built we want to see what youve 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.

Whats 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 (25 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.

Additional Information :

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

Remote Work :

Yes

Employment Type :

Full-time