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Assistant Ai Agent Developer Jobs in Arizona (NOW HIRING)

Manager IT/ AI

Marana, AZ · On-site

$105K - $130K/yr

... assistants used across the organization. * Direct AI agent development and orchestration, including use‑case design, prompt engineering, agent chaining, role‑based access, testing, monitoring ...

... AI and autonomous agent patterns to accelerate development, testing, and operations. You will combine traditional engineering (Node.js backend, Angular front end, MongoDB, Camunda workflows) with ...

Designing and delivering embedded artificial intelligence (AI) agent capabilities within Oracle ... Bachelor's degree or higher in computer science, information technology, software engineering ...

AI Engineering Leader

Tempe, AZ · On-site

$98K - $129K/yr

Multi-agent architectures Retrieval-Augmented Generation (RAG) pipelines GraphRAG implementations ... DevOps & CI/CD Design and implement CI/CD pipelines using GitHub Actions Integrate AI workflows ...

Generative AI Developer

Phoenix, AZ · On-site

$104K - $152K/yr

... multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms ... Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI ...

... AI Developer to enhance their Digital Center of Excellence. This role involves designing and ... AI, and multi-agent systems. • Design, build, and deploy agentic solutions using Microsoft ...

Solution Architect - AI & Data

Phoenix, AZ · On-site

$62.50 - $82.50/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI ...

Solution Architect - AI & Data

Phoenix, AZ

$62.50 - $82.50/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI ...

Showing results 21-40

Assistant Ai Agent Developer information

What are the key skills and qualifications needed to thrive as an assistant AI agent developer?

To thrive as an Assistant AI Agent Developer, you need a solid background in programming (especially Python), machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, version control systems like Git, and APIs is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are essential soft skills for success in this role. These skills ensure the development of robust, efficient AI agents and smooth collaboration within multidisciplinary teams.

What are the typical collaboration practices for an assistant AI agent developer within a software development team?

As an Assistant AI Agent Developer, you'll frequently collaborate with data scientists, senior developers, and product managers to design, test, and refine AI agents. You'll often participate in code reviews, daily standups, and brainstorming sessions to ensure that the AI solutions align with project goals and user needs. Effective communication and teamwork are essential, as you may need to integrate your code with other systems or adapt to evolving project requirements. Working with cross-functional teams not only helps in troubleshooting but also provides valuable learning opportunities to advance your skills.

What is an assistant AI agent developer?

An Assistant AI Agent Developer is a professional who designs, develops, and maintains AI-powered virtual assistants or chatbot systems. Their work involves programming conversational agents, integrating natural language processing (NLP) technologies, and ensuring the agent can understand and respond to user queries effectively. They may also be responsible for training the AI using data, testing the assistant's performance, and deploying updates for improved accuracy and functionality. This role often requires knowledge of programming languages such as Python, familiarity with AI frameworks, and understanding of user experience design.

What are the most commonly searched types of Ai Agent Developer jobs in Arizona?

The most popular types of Ai Agent Developer jobs in Arizona are:

What job categories do people searching Assistant Ai Agent Developer jobs in Arizona look for?

The top searched job categories for Assistant Ai Agent Developer jobs in Arizona are:

What cities in Arizona are hiring for Assistant Ai Agent Developer jobs?

Cities in Arizona with the most Assistant Ai Agent Developer job openings:

Infographic showing various Assistant Ai Agent Developer job openings in Arizona as of June 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Experienced AI Engineer - Generative AI/Machine Learning

RLI Corp.

Peoria, AZ

$95K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

About UsWe're not like other insurance companies. From our specialty products to our business model, our culture to our results -we're different.Different is who we are, and how we work, interact, deliver and succeed together.Creating a different and better insurance experience doesn't just happen. It takes focus and a shared passion for going beyond the expected to forge relationships and deliver care that makes a difference. This approach rises from and is supported by our talented, ethical and smart team of employee owners united around a single purpose: to work alongside our customers and partners when they need us, in unexpected ways, with exceptional results. Apply today to make a difference with us.RLI is a Glassdoor Best Places to Work company with a strong, successful background. For decades, our financial track record has been stellar - a testament to our culture and validation of our reputation as an excellent underwriting company.Position Purpose

Under general management, design, develop, and deliver next-generation AI solutions that improve business processes across the enterprise. Develop intelligent applications, integrate AI capabilities with enterprise systems, and build scalable cloud-native solutions that enable automation, knowledge discovery, and operational efficiency. Collaborate with product owners, architects, business stakeholders, and development teams to design secure, scalable, and maintainable AI-enabled solutions that solve complex business challenges.


Principal Duties & Responsibilities
  • Design, develop, test, and deploy enterprise AI applications using modern software engineering practices.
  • Build intelligent solutions utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow orchestration technologies.
  • Develop scalable backend services, REST APIs, and cloud-native applications that integrate AI capabilities with enterprise systems.
  • Design and implement integrations using APIs, messaging, and event-driven architectures.
  • Develop document processing, OCR, and knowledge extraction solutions using AI technologies.
  • Design and implement vector search, semantic retrieval, and enterprise knowledge base solutions.
  • Deploy, manage, and optimize applications within Kubernetes-based environments.
  • Collaborate with business partners to understand business needs and translate them into practical AI-enabled solutions.
  • Participate in architecture reviews, code reviews, Agile ceremonies, technical planning, and solution design discussions.
  • Contribute to CI/CD pipelines, infrastructure automation, and software engineering best practices.
  • Mentor team members and promote high standards for software quality, testing, security, observability, and maintainability.
  • Assist with special projects or perform other duties as assigned.

Education & Experience
  • Typically requires a Bachelor's degree in computer science or a related field
  • Minimum of 7 years of professional software engineering experience designing, developing, and supporting enterprise applications.
    • Equivalent combination of education and experience will be considered.
  • Experience designing and developing cloud-native applications, distributed systems, and RESTful APIs.
  • Experience developing AI-enabled applications utilizing Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agent frameworks, and prompt engineering techniques.
  • Experience designing and implementing vector databases, vector search, embeddings, and semantic retrieval solutions.
  • Experience using AI-assisted software development tools to improve software design, development, testing, and delivery.
  • Experience working within Agile software development environments utilizing Git-based source control and CI/CD practices.

Knowledge, Skills, & Competencies
  • Strong proficiency in Python and modern software engineering principles.
  • Strong understanding of software architecture, object-oriented design, and design patterns.
  • Ability to design and develop scalable cloud-native applications utilizing Kubernetes, Docker, REST APIs, and microservices.
  • Knowledge of modern AI application architecture including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, LangGraph, LangChain, Azure AI Foundry, prompt engineering, and AI model evaluation.
  • Ability to design and implement vector search, semantic retrieval, embeddings, and knowledge ingestion pipelines for enterprise AI solutions.
  • Knowledge of intelligent document processing technologies including OCR, document processing pipelines, and structured and unstructured document extraction.
  • Experience integrating enterprise systems using APIs, messaging, and event-driven architectures.
  • Knowledge of DevOps tools and practices including Git, GitLab, GitLab CI/CD, Infrastructure as Code (IaC), and automated deployment pipelines.
  • Ability to leverage AI-assisted development tools while maintaining high standards for software quality, security, testing, and observability.
  • Strong analytical, problem-solving, communication, and collaboration skills.
  • Demonstrates the ability to evaluate emerging AI technologies and apply them to solve complex business problems.
Compensation OverviewThe base salary range for the position is listed below. Please note that the base salary is only one component of our robust total rewards package at RLI. The salary offered will take into account a number of factors including, but not limited to, geographic location, experience, scope & responsibilities of the role, qualifications/credentials, talent availability & specialization, as well as business needs. The below range may be modified in the future. Base Pay Range$120,515.00 - $175,650.00Total RewardsAt RLI, we're all owners. We hire the best and the brightest employees and allow them to share in the company's success through our Total Rewards. With the Employee Stock Ownership plan at its core, the Total Rewards program includes all compensation, benefits and perks that come with being an RLI employee.Financial Incentives
  • Annual bonus plans
  • Employee stock ownership plan (ESOP)
  • 401(k) - automatic 3% company contribution
  • Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings)
Work & Life
  • Paid time off (PTO) and holidays
  • Paid volunteer time off (VTO) to support our communities
  • Parental and family care leave
  • Flexible & hybrid work arrangements
  • Fitness center discounts and free virtual fitness platform
  • Employee assistance program
Health & Wellness
  • Comprehensive medical, dental and vision benefits
  • Flexible spending and health savings accounts
  • 2x base salary for group life and AD&D insurance
  • Voluntary life, critical illness, & accident insurance for purchase
  • Short-term and long-term disability benefits
Personal & Professional GrowthRLI encourages its employees to pursue professional development work in insurance and job-related areas. We make a commitment to employees to provide educational opportunities that help them enhance their skills and further their career advancement. RLI fosters a true learning culture and encourages professional growth through insurance courses, in-house training and other educational programs. RLI covers the cost for most programs and employees typically earn a bonus upon successful completion of approved courses and certifications. Our personal and professional growth benefits include:
  • Training & certification opportunities
  • Tuition reimbursement
  • Education bonuses
Diversity & InclusionOur goal is to attract, develop and retain the best employee talent from diverse backgrounds while promoting an environment where all viewpoints are valued and individuals feel respected, are treated fairly, and have an opportunity to excel in their chosen careers. We actively support, and participate in, initiatives led by the American Property Casualty Insurance Association that aim to increase diversity in the insurance industry. Cultivating an exceptional and diverse workforce to deliver excellent customer service reinforces our culture and is a key to achieving superior business results.RLI is an equal opportunity employer and does not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law.

RLI logo

About RLI

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Peoria, IL, US

Year founded

1965