Generative AI Engineer

We 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., * 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.

• 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)

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