Lead AI Full Stack Developer

Job Overview

We are seeking an experienced AI Full Stack Developer with a strong background in designing and implementing AI-driven applications using Google Cloud Platform (GCP). The ideal candidate will be proficient in full-stack development while leveraging cutting-edge AI/ML technologies. You will collaborate with cross-functional teams to design, develop, and deploy scalable, secure, and efficient AI-based applications that enhance business operations.

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.

Qualifications

Mandatory 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).
• Proven 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.

Preferred Qualifications

• Experience with GCP’s Cloud AI products, such as AutoML, TensorFlow on GCP, Dataflow, Dialogflow (for chatbot and conversational AI).
• 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.

About UKG

UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!

Equal Opportunity Employer

Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.