Agentic AI Engineer

Strategic Staffing Solutions

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

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Vacancy posted 5 days ago

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