AI Agent Developer

Overview

Hybrid
$140,000 - $200,000
Full Time
10% Travel

Skills

API
Artificial Intelligence
Autogen
Data Science
Decision-making
Large Language Models (LLMs)
Python
Testing
Regulatory Compliance
Software Engineering
LangChain
Machine Learning (ML)

Job Details

We're seeking passionate AI Agent Developers to help shape the future of intelligent multi-agent systems. You ll be working at the intersection of large language models (LLMs), applied machine learning, and platform integration building solutions that power scenarios from fraud prevention to customer support automation.

We re hiring across several focus areas, and your role will align with your expertise and interests:

  • Autonomous Agent Development building LLM-based decision-making agents and advancing conversational AI
  • AI Integration & MLOps enabling scalable infrastructure, data pipelines, and operational excellence
  • Quality & Integration Engineering focusing on agent behavior testing, UI/UX integration, and platform reliability

Responsibilities
As an AI Agent Developer, you will:

  • Design, build, and iterate on AI agents leveraging GPT models, multi-agent frameworks
  • Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
  • Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
  • Integrate AI agents with cloud AI services, API, and internal systems
  • Apply best practices in security, compliance, and privacy to all aspects of agent development
  • Collaborate closely with cross-functional partners including engineering, product, and design teams
  • Document agent behavior, test results, and learnings to ensure transparency and knowledge sharing

Qualifications

Required Qualifications:

  • 3+ years of experience in software engineering, data science, or machine learning
  • Proficiency in Python for development and scripting
  • Hands-on experience with LLMs, prompt engineering, and the OpenAI API
  • Familiarity with cloud services, cloud infrastructure, and CI/CD pipelines

Preferred Qualifications:

  • Experience working with multi-agent frameworks such as AutoGen, Langchain, or CrewAI
  • Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
  • Exposure to enterprise integration technologies
  • Strong debugging skills and a solid understanding of security and data protection principles
  • Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.