OfficeSpace Software is the workspace management platform for enterprise-level innovation, empowering over 1,800 leading organizations to optimize and transform their workspaces for a flexible, high-performance hybrid future. Our intuitive solutions for space planning, desk and room booking, and real-time workplace insights help businesses elevate employee experience and operational efficiency. Recognized by G2 as a Leader in Workplace Experience and featured in Gartner’s 2023 Market Guide, OfficeSpace is at the forefront of workplace innovation.
Backed by Vista Equity Partners and Resurgens Technology Partners, OfficeSpace is primed for continued growth. With a global team spanning the US, Canada, and Costa Rica, we’re committed to setting new standards in workplace technology. If you’re driven by impact, energized by innovation, and ready to help shape the future of work, OfficeSpace invites you to join us.

SKILLS & EXPERIENCE REQUIRED:

• Technical Expertise: 7+ years of experience in software engineering, with a strong foundation in full-stack development and a focus on backend and frontend technologies.
• Programming Skills: Proficiency in Python, Ruby on Rails, or similar backend languages, and frontend frameworks such as React, Angular, or Vue.
• AI and Machine Learning: Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and familiarity with NLP techniques and tools.
• Cloud and Big Data: Proficiency with cloud platforms like Google Cloud Platform (GCP) and tools for big data analysis (e.g., BigQuery, Apache Spark).
• Database Expertise: Strong knowledge of SQL and experience with relational and NoSQL databases.
• MLOps Knowledge: Understanding of MLOps best practices, including model deployment and monitoring.
• Performance Optimization: Proven ability to optimize software and AI systems for speed and scalability.

PREFERRED SKILLS:

• Experience with LangChain for chaining AI model workflows.
• Familiarity with OpenAI APIs and GCP AI tools.
• Knowledge of real-time data processing tools like Flink or Kafka.
• Background in workplace management software or similar enterprise solutions.
• Solid understanding of secure AI frameworks such as OWASP AI and SAIF

WHAT YOU’LL DO:

As an AI Solutions Engineer at OfficeSpace, you will lead the design, development, and optimization of AI-driven solutions while leveraging your full-stack engineering expertise. This role focuses on developing machine learning models and integrating them into scalable software systems to enhance workplace management capabilities. Your background in full-stack development will be critical for building robust, end-to-end AI solutions.

RESPONSIBILITIES:

• AI Solution Development: Design, develop, and implement AI and machine learning models, including natural language processing (NLP), recommendation systems, and predictive analytics. Integrate these models into production systems effectively.
• Full-Stack Engineering: Leverage your expertise in backend (e.g., Ruby on Rails, Python) and frontend (e.g., React, Angular) development to build scalable, user-centric applications that incorporate AI capabilities.
• Data Preparation and Analysis: Preprocess and analyze large datasets to train machine learning models. Use SQL and big data tools to manage and derive insights from structured and unstructured data.
• API and Integration: Develop and maintain APIs to support AI functionalities. Implement GraphQL or RESTful API solutions to enable seamless integration across platforms.
• Performance and Optimization: Monitor, evaluate, and optimize the performance of deployed AI models and software systems to ensure reliability, scalability, and efficiency.
• MLOps Practices: Implement MLOps processes to streamline model deployment, monitoring, and continuous improvement in production environments.
• Cross-Functional Collaboration: Work closely with software engineers, product managers, and data scientists to align AI initiatives with business goals and ensure a cohesive user experience.
• Emerging Technology Leadership: Stay informed about advancements in AI, machine learning, and full-stack development to drive innovation at OfficeSpace.
• Secure and Ethical Development: Ensure all development and AL implementation meets industry best practices for secure AI frameworks (Such as OWASP AI top 10).