Lead AI Full Stack Developer

Full-time - Mid Level

Lowell, MA

10,001+ employees

Professional, Scientific, and Technical Services

About the position

The AI Full Stack Developer at UKG will be responsible for designing, developing, and maintaining AI-driven web applications using a full stack of technologies. This role requires collaboration with cross-functional teams to integrate AI/ML models into production environments, ensuring scalability, security, and reliability through the use of Google Cloud Platform (GCP) services. The ideal candidate will leverage their expertise in full-stack development and AI technologies to enhance business operations and contribute to the company's mission of creating great workplaces.

Responsibilities

• Design, develop, and maintain AI-driven web applications using a full stack of technologies.
• Collaborate with data scientists and product teams to integrate AI/ML models into production environments.
• Implement cloud-native solutions using GCP services, ensuring scalability, security, and reliability.
• Design and manage backend services, databases, and APIs that support AI models and applications.
• Ensure best practices in cloud security and compliance are met in the design and implementation.
• Optimize AI-driven applications for performance and scalability.
• Troubleshoot, debug, and upgrade software systems.
• Work closely with DevOps teams to automate deployment processes and monitor AI/ML applications.

Requirements

• Solid understanding of backend languages like Python, Node.js, or Java
• Frontend development experience using React.js or Angular
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience
• 5+ years of experience in Full Stack Development (Front-end & Back-end technologies)
• At least 2+ years experience deploying AI/ML applications in Google Cloud Platform (GCP) environments
• Proficiency in Google Cloud Platform services, including Cloud Functions, Cloud Run, BigQuery, Cloud SQL, Cloud Storage, Pub/Sub, Google Vertex AI
• Strong knowledge of APIs and RESTful services development and integration
• Experience with containerization and orchestration tools like Docker and Kubernetes
• Familiarity with CI/CD pipelines and Git-based version control

Nice-to-haves

• Experience with GCP's Cloud AI products, such as AutoML, TensorFlow on GCP, Dataflow, Dialogflow
• Experience with Cloud Dataproc for processing large datasets
• Familiarity with Google Kubernetes Engine (GKE) for managing containerized AI applications
• Experience with Google Cloud Monitoring and Logging for operational insights
• Experience with MLOps practices for automating machine learning workflows
• Familiarity with GraphQL
• Understanding of big data tools like Apache Beam and Apache Kafka
• Excellent problem-solving skills and attention to detail
• Ability to work effectively in a collaborative, fast-paced environment
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
• Agile mindset with a focus on continuous improvement and learning

Benefits

• Wellness programs
• Tuition reimbursement
• Customizable expense reimbursement program (U Choose)
• Support for student loan repayment
• Childcare assistance
• Pet insurance