Generative AI Engineer

AI Software Engineer – Agentic AI & Google Cloud NOTE: Preference for Denver, CO candidates but open to remote. Cannot work with CA residents. About the RoleWe are seeking an experienced AI Software Engineer to design, build, deploy, and optimize next-generation AI agents and intelligent applications. In this role, you'll develop production-ready AI solutions using Python, Google's Agent Development Kit (ADK), and Google Cloud Platform (GCP). You'll collaborate with cross-functional teams to integrate generative AI capabilities into enterprise applications while building scalable cloud infrastructure and maintaining reliable production environments. This is an excellent opportunity for an engineer who enjoys building end-to-end AI systems—from agent development and cloud deployment to infrastructure automation and continuous improvement. Contract Details: • 6 month contract (likely to be long term w/ extensions) • Flexible pay based on experience • Fully remote but candidates local to Denver, CO will be prioritized Key Responsibilities: • Design, develop, and maintain production-grade AI agents and intelligent software applications using Python and Google Agent Development Kit (ADK). • Deploy, monitor, troubleshoot, and optimize AI applications and supporting infrastructure within Google Cloud Platform (GCP). • Collaborate with data scientists, analysts, product owners, and business stakeholders to gather requirements and integrate AI-powered capabilities into existing products and workflows. • Build and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices. • Develop scalable, secure, and maintainable cloud architectures supporting AI workloads. • Perform testing, debugging, performance tuning, and continuous improvement of AI applications throughout the software development lifecycle. • Monitor production environments, identify performance bottlenecks, and implement reliability improvements. • Contribute to architecture discussions, code reviews, documentation, and engineering best practices. Required Qualifications: • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). • 3+ years of professional software engineering experience using Python. • Experience developing AI applications using LLMs, AI agents, or Generative AI frameworks. • Hands-on experience deploying applications in Google Cloud Platform (GCP). • Experience with Terraform or other Infrastructure as Code (IaC) tools. • Experience building, deploying, monitoring, and supporting cloud-native applications. • Strong understanding of software engineering best practices, including testing, debugging, CI/CD, and version control. Preferred Qualifications: • Experience with Google Agent Development Kit (ADK). • Experience with AI agent frameworks such as LangChain, LangGraph, CrewAI, or AutoGen. • Familiarity with Vertex AI, Gemini models, or other enterprise LLM platforms. • Experience with Docker, Kubernetes, or containerized deployments. • Knowledge of REST APIs, microservices, and distributed systems. • Experience implementing observability, logging, and monitoring solutions for AI applications. Technical Skills: • Python • Google Cloud Platform (GCP) • Google Agent Development Kit (ADK) • Terraform • Generative AI / LLMs • AI Agents • Vertex AI • Git • CI/CD • Docker • Kubernetes (preferred)