Sr. AI Full Stack Developer
$75 - $90 per hourInsight Global
Job Description Insight Global is seeking an experienced AI & GCP Developer to support a large‑scale enterprise environment focused on building intelligent applications, integrating complex systems, and optimizing cloud‑based architecture. This role will work closely with cross‑functional teams to design, develop, and maintain AI‑driven solutions, scalable APIs, and cloud‑native applications. You will play a key role in enabling data‑driven decision‑making, improving system integrations, and ensuring operational excellence across cloud platforms. Pay rate falls from $75-$90/hr depending on YOE. Responsibilities Design, develop, and maintain AI‑powered applications using GCP tools such as Vertex AI and other ML services Build and support scalable APIs and microservices in a cloud‑native environment Develop and manage data pipelines to support AI model training and inference Lead system integrations across internal tools, SaaS platforms, and databases Ensure data integrity, consistency, and quality across systems Manage and optimize GCP environments using Infrastructure‑as‑Code and automation Develop CI/CD pipelines and support deployments, monitoring, and performance tuning Collaborate with stakeholders to improve application logic, user experience, and system efficiency Troubleshoot issues and proactively identify process and technology improvements Operate in a fast‑paced, agile environment managing multiple concurrent initiatives Skills and Requirements Strong experience building and deploying AI/ML solutions in Google Cloud (Vertex AI or similar) Proficiency in Python, Node.js, and/or TypeScript Experience with front‑end frameworks (React or Angular) Hands‑on experience designing and building RESTful APIs and microservices Experience with GCP services such as Cloud Run, Compute Engine, App Engine, Pub/Sub, Cloud Functions, Workflows, BigQuery, and Cloud SQL Experience with Infrastructure‑as‑Code (Terraform preferred) Exposure to CI/CD pipelines and deployment best practices Experience working with containerization technologies (Docker, Kubernetes/GKE) Ability to manage system integrations and data pipelines at scale Strong problem‑solving skills with the ability to work independently in ambiguous environments Experience supporting enterprise‑level applications and systems Experience with GCP architecture and administration at scale Exposure to AI‑driven search or knowledge management platforms Familiarity with Apigee or API gateway tools Experience with data visualization or reporting tools Knowledge of Google Workspace APIs or Apps Script integrations Experience working within CMS platforms Understanding of cloud security best practices within GCP We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: #J-18808-Ljbffr Insight Global
$192k - $260k
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Insight Global is seeking an AI & GCP Developer to support a large-scale enterprise environment in Mountain View, California. The role focuses on building AI-driven solutions and optimizing cloud architecture using GCP tools. Responsibilities include designing applications...Senior$70 - $85 per hour
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