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Agent AI Engineer

Actalent

Posted Thursday, July 3, 2025

Posting ID: JP-005391380

Phoenix, AZ
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Senior Autonomous Agent Developer - Phoenix,

Job Description

We are actively hiring a Senior Autonomous Agent Developer to join our growing team for Semiconductor Manufacturing in Phoenix, AZ! As a Senior Autonomous Agent Developer, you will design and build autonomous agents capable of reasoning, decision-making, and interacting with external systems. Your work will focus on developing systems that allow agents to autonomously carry out tasks, plan actions, and collaborate with other agents while ensuring their behavior is safe, reliable, and ethical. Utilizing cutting-edge AI technologies, you will extend the capabilities of language models through integration with APIs, tools, and external software environments. This is an excellent opportunity to work with cutting-edge technology in a long-term position with a stable company.

Responsibilities

  • Design and implement autonomous agent systems with a focus on behavior modeling, task execution, and collaboration.
  • Integrate language models with tools, APIs, and software environments to enhance agents' capabilities.
  • Develop agent memory systems, task tracking mechanisms, and goal-directed behaviors for autonomous action in dynamic environments.
  • Implement multi-agent systems to facilitate collaboration, knowledge sharing, and problem-solving.
  • Ensure agents' actions comply with ethical and safety constraints to minimize risks.
  • Test and evaluate agents in real-world scenarios, iterating on designs based on feedback and performance metrics.
  • Research and experiment with emerging multi-agent frameworks to improve efficiency and capability.

Job Requirements

  • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related technical field.
  • 5+ years of experience in Developing Autonomous Systems or Intelligent Agents.
  • Proficiency with Agent Architectures and Techniques, such as Task Planning and Agent Coordination.
  • Experience with Multi-Agent Systems, including Agent Communication and Task Distribution.
  • Deep understanding of language models and their integration with external APIs.
  • Strong Programming skills in Python and experience with AI frameworks.

Additional Skills & Qualifications

  • 3-8 years in Integrate Language Models; Reinforcement Learning; Artificial Intelligence; and Design Machine learning.
  • Familiarity with AI safety and ethics to prevent unwanted behaviors in autonomous systems.
  • Familiarity with cognitive architectures or symbolic reasoning for agent systems.

Work Environment

This fab is state-of-the-art, but still undergoing expansion and construction in some areas, which can create a transitional atmosphere. The environment offers exposure to cutting-edge semiconductor technology and complex systems, which can be beneficial experience for engineers and technicians. AI is a fast-moving field, and this position at this facility allows employees to a great opportunity to stay competitive and updated with their skillsets.

Candidates must be willing and able to work on-site at our Phoenix, Arizona facility. The role requires dedication with long working hours. The company offers an average of 85+ hours of learning programs per employee annually, with a strong focus on technical training, leadership development, and cross-functional mobility. Benefits include health coverage, wellness programs, support for family care, and professional development funding.

Compensation:$130000

Contact Information

Recruiter: Sarah Page

Phone: (317) 567-6623

Email: sapage@actalentservices.com

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
On-Site
Communication
Python (Programming Language)
Computer Science
Ethical Standards And Conduct
Application Programming Interface (API)
Decision Making
Artificial Intelligence
Semiconductors
Leadership Development
Machine Learning
Experimentation
Technical Training
Task Planning
Autonomous System
Reinforcement Learning
Multi-Agent Systems
Edge Intelligence
AI Safety
Language Models
Memory Systems

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