Job Description

Job Title: Agentic AI Engineer – Hiring FAST!
Industry: Finance
Location: Chandler, AZ
Pay Rate: $--/HR on W2 Only – NO C2C
Setting: Hybrid Required (Remote is NOT an Option)
Duration: 24 months
Job ID: 247937

Required Qualifications:

• 4+ years of Software Engineering experience.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
• Strong experience in software development, system integration, or platform engineering
• Proficiency in one or more modern programming languages (e.g., Java, Python, C#, or similar)
• Experience with cloud platforms, distributed systems, and APIs
• Solid understanding of software design principles, data structures, and system reliability
• Strong problem solving, communication, and collaboration skills
• Google Cloud Platform
• Python ADK
• Native application build out in Google cloud platforms
• Low latency microservice build out
• Agentic AI experience ( Prompting, tooling, Tuning, Guardrails )
• Full stack experience is a plus ( React , Java Springboot )
• System design experience
• A Minimum of 3 years experience in relevant areas
• Operating in Agile environment

Desired Qualifications:

• Experience with Generative AI, machine learning platforms, or data driven systems. Preference is for : Google Cloud platforms, Python ADK , Micro Service build out, Lang Chain , Lang Graph , Full Stack development background , Cloud native application experience in google cloud platform, Playbook/Playbook live .
• Familiarity with cloud-native architectures (microservices, containers, CI/CD)
• Experience working in regulated or enterprise environments
• Exposure to DevOps, SRE, or platform engineering practices
• Leadership experience, mentoring, or technical ownership of complex systems
• Experience supporting high availability or customer facing platforms
• Next Generation Agent Product experience
• Context Engineering
• Exposure to Multi agent exposure

Responsibilities:

• Design, develop, test, and deploy software and platform components aligned with business and architectural standards and Generative AI platforms like GCP
  
• Contribute to system architecture and technical design decisions
  
• Integrate cloud services, APIs, and data sources to deliver end to end solutions
  
• Implement automation, monitoring, and observability to ensure system reliability
  
• Collaborate with cross functional partners including product, security, infrastructure, and operations
  
• Support production systems through troubleshooting, root cause analysis, and continuous improvements