Senior AI Engineer | LLM | Agentic Platforms

Kelly Services; Phoenix (AZ); Hybrid; USD 120,000 - 220,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Vacation Time

Stock Options (where applicable)

6% retirement match

20+ weeks paid parental leave

Wellness programs and financial coaching

Career development and training opportunities

Job summary

Kelly Services is seeking a Senior AI Engineer II to join their cutting-edge team in Phoenix, Arizona. In this full-time role, you will develop next-generation AI systems utilizing your expertise in LLMs and backend engineering while working in a hybrid/remote environment.

Your responsibilities will include building intelligent systems for complex workflows and gaining exposure to enterprise-scale AI challenges. The position offers a competitive salary and various benefits including health insurance, stock options, and flexible work arrangements.

Qualifications

• 8+ years of software engineering experience with production-level ML/LLM systems.
• Programming experience in Python, Go, or TypeScript.
• Experience with LLMs, agentic systems, or applied AI architectures.

Responsibilities

• Work on autonomous AI systems that can reason and adapt across complex workflows.
• Develop intelligent systems that power autonomous workflows and decision-making.
• Gain exposure to enterprise-scale AI challenges and cutting-edge tooling.

Skills

Software engineering experience with production-level ML/LLM systems

Programming experience in Python, Go, or TypeScript

LLMs, agentic systems, or applied AI architectures

Backend engineering expertise across APIs, distributed systems, and data pipelines

Cloud environments (AWS and/or GCP) and Kubernetes

Strong understanding of schema design, validation, and state management

AI-assisted development workflows

Building and shipping systems used by real users

Job description

$120000 - $220000

Join a cutting-edge team building next-generation AI systems in a U.S.-based hybrid/remote environment as a full-time Senior AI Engineer II. You’ll work with modern technologies including LLMs, Python, Go, TypeScript, AWS/GCP, Kubernetes, and agentic AI frameworks to develop intelligent systems that power autonomous workflows, decision-making, and customer-facing experiences, within a highly secure and compliant environment.

You’ll be working on autonomous AI systems that can reason, act, and adapt across complex workflows. They’re looking for engineers who thrive in ambiguity and want to push AI into meaningful, real-world applications. In return, you’ll gain exposure to enterprise-scale AI challenges, cutting-edge tooling, and a culture that emphasizes growth, and innovation.

Required Skills & Experience

• 8+ years of software engineering experience with production-level ML/LLM systems
• Programming experience in Python, Go, or TypeScript
• LLMs, agentic systems, or applied AI architectures
• Backend engineering expertise across APIs, distributed systems, and data pipelines
• Cloud environments (AWS and/or GCP) and Kubernetes
• Strong understanding of schema design, validation, and state management
• AI-assisted development workflows
• Building and shipping systems used by real users

Desired Skills & Experience

• Building AI systems in regulated environments
• RAG pipelines, vector databases, and AI evaluation tooling
• Kafka or event-driven architectures
• Experience contributing to shared AI platforms or infrastructure
• Open-source contributions in AI or developer tooling
• Startup or early-stage engineering experience

What You Will Be Doing

Tech Breakdown

• 40% LLMs / Agentic AI Systems
• 30% Backend Engineering (APIs, Distributed Systems)
• 20% Cloud & Infrastructure (AWS/GCP, Kubernetes)
• 10% AI Tooling & Evaluation

The Offer

• Bonus eligible

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options (where applicable)
• Competitive salary: $120,000 – $220,000
• 6% retirement match
• 20+ weeks paid parental leave
• Flexible work model (hybrid/remote options)
• Wellness programs and financial coaching
• Career development and training opportunities

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.