GenAI Cloud Engineer

Role Overview We are seeking a highly skilled GenAI Cloud Engineer with strong handson experience in Generative AI solutions on Google Cloud Platform (Vertex AI) and/or AWS Bedrock. The ideal candidate will have deep knowledge of cloud infrastructure, networking, IAM, security, Infrastructure as Code (IaC), and CI/CD pipelines, and will contribute to building and operating scalable GenAI platforms in a secure enterprise environment. This role requires close collaboration with platform, network

Job Title: : Senior AI Developer Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration: Long Term Contract Key Responsibilities: Lead the design, development, and testing of full stack (frontend, backend, API) Python applications. Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production settings. Build and optimize document ingestion pipelines and document processing workflows utilizing vector databases (e.g., MongoDB Atlas). Manage

Join a financial services technology company as a Cloud Platform Engineer in a contract role through the end of the year with strong potential for conversion or extension, especially for high performers. This hybrid position requires three days onsite per week with flexibility to choose your days, as long as you remain consistent with your schedule. You'll play a vital role in the design, implementation, and optimization of scalable, secure, and cost-effective cloud infrastructure. Working close

A leading fintech organization powering secure digital payment solutions for major financial institutions across the U.S. is hiring a full-time Cloud Platform Engineer to help design, implement, and optimize AWS-based infrastructure as they migrate mission-critical systems from on-prem to the cloud. This role is heavily focused on AWS (EC2, EKS, Lambda, RDS, S3), Kubernetes, Terraform (IaC), Docker, and cloud security within a highly regulated environment. This is a high-impact role supporting a