Lead GCP Engineer: AI Platforms & Development in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead GCP Engineer: AI Platforms & Development in the United States.

This role sits at the core of next-generation AI engineering, focused on building and scaling agentic systems within a Google Cloud environment. You will act as the technical authority for AI-driven backend development, responsible for transforming advanced language models into production-ready, enterprise-grade applications. The position bridges AI research concepts and real-world systems by designing scalable services, APIs, and data pipelines that power intelligent agents. You will work closely with cross-functional teams to ensure seamless integration of AI capabilities into enterprise platforms while defining engineering standards for GCP-based development. This is a highly hands-on role where you will also contribute to innovation through accelerators, reusable assets, and proof-of-concepts. Operating in a collaborative and fast-evolving environment, you will help shape best practices for building secure, scalable, and production-ready AI systems. The role is ideal for an engineer passionate about generative AI, cloud-native architecture, and building impactful AI products at scale.

• Design, build, and maintain production-grade backend services and APIs that orchestrate AI agent workflows on Google Cloud Platform.
• Develop and optimize prompt engineering strategies, including system instructions, few-shot learning, and Gemini model tuning.
• Lead the productionization of AI prototypes into scalable cloud-native solutions using services such as Cloud Run, GKE, Vertex AI, and Cloud Functions.
• Build integration layers and connectors enabling AI systems to interact with enterprise data sources, vector databases, and Google Cloud data services.
• Establish CI/CD pipelines and MLOps-aligned practices for LLM-based applications, including prompt versioning and evaluation frameworks.
• Lead the development of innovation lab assets, including accelerators, reusable components, and AI starter kits for enterprise deployment.
• Collaborate across AI, data, and engineering teams to align best practices and ensure consistent implementation of GCP AI architectures.
• Contribute to architectural standards and technical governance for scalable and secure AI platform development.

• 8+ years of software engineering experience with strong backend development expertise.
• 3+ years of hands-on experience building and deploying solutions on Google Cloud Platform.
• Strong proficiency in Python and/or Go for backend and cloud-native development.
• Deep experience with Gemini models, Vertex AI, prompt engineering, and function calling.
• Experience building or supporting RAG-based architectures and generative AI systems.
• Solid understanding of cloud-native architectures, microservices, and distributed systems.
• Familiarity with CI/CD pipelines and Infrastructure-as-Code tools such as Terraform (preferred).
• Experience with LLM evaluation frameworks, observability, and AI safety practices is a plus.
• Google Cloud Professional certifications and experience with Agent Development Kit or Vertex AI Agent Builder are highly desirable.

• Competitive base salary ranging from $122,001 to $191,715, plus performance-based incentives.
• Comprehensive medical, dental, and vision insurance coverage.
• 401(k) retirement savings plan with employer contributions.
• Paid time off, holidays, and employee assistance programs.
• Remote-first work environment with flexibility across the United States.
• Access to professional development and cloud certification support.
• Exposure to cutting-edge AI innovation labs and enterprise-scale generative AI projects.
• Inclusive and collaborative culture focused on innovation, learning, and technical excellence.