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# AI Engineer III

- **Company:** Kelly Services Inc.
- **Location:** Phoenix, AZ, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Encodings, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, TypeScript, Software Organization, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Backend, AI Platforms, Free and Open-Source Software
- **Published:** October 26, 2026
- **Apply:** https://www.phoenixjobs.com/job.asp?id=3472095415&tx=JJ3125FFG&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Required Skills & Experience 4+ years of professional software engineering experience

 * Strong proficiency in Python, Go, or TypeScript
 * Experience building and maintaining APIs and backend services
 * Familiarity with AWS and/or GCP cloud environments
 * Understanding of modern software development practices and distributed systems
 * Hands-on experience building AI-powered features, LLM applications, or ML-driven products
 * Experience collaborating within cross-functional engineering teams
 * Strong problem-solving abilities and customer-focused mindset

Desired Skills & Experience

 * Experience building agentic AI applications or autonomous workflows
 * Knowledge of retrieval-augmented generation (RAG) architectures
 * Exposure to vector databases, embedding pipelines, and semantic retrieval systems
 * Familiarity with agent orchestration frameworks and evaluation tooling
 * Experience working in fintech or other regulated environments
 * Contributions to open-source software, hackathons, or personal AI projects
 * Understanding of structured outputs, schema validation, and governance controls

## Description

* Design and implement LLM-powered product capabilities
 * Build agentic workflows that reason over context, utilize tools, and execute actions
 * Develop and maintain RAG pipelines for financial datasets
 * Contribute to shared AI platforms, orchestration services, and monitoring solutions
 * Improve reliability, performance, and observability of production AI systems
 * Partner with product and design teams to turn customer needs into technical solutions
 * Support responsible AI development through robust security, auditability, and governance practices