AI Agent Developer

Overview

Tite: AI Engineer

Location:

Hybrid (Candidate should open to travel to Lincolnshire, IL once a Month) Duration:
Long Term

Job Summary:

As an AI Agent developer you will be responsible for designs, builds, and deploying intelligent AI agents that perform autonomous tasks such as reasoning, planning, decision-making, and interaction. These agents often leverage large language models (LLMs) and integrate into applications like chatbots, automation tools, or SaaS applications. You will be responsible in working closely with business users and application teams in developing and deploying AI agents using Enterprise AI tools such as Google Gemini, OpenAI ChatGPT or Microsoft CoPilot.

You will also act as a subject matter expert and provide guidance, thought leadership, brainstorming and ideas on how to improve and make agents better or improve flows to applications and data that the AI agent will leverage.

• Design and implement scalable, resilient AI Agents that integrate with company data or processes
• Define processes, standards, and implementation oversight for all AI agent development.
• Lead infrastructure modernization initiatives and digital transformation projects using AI Agents for various workflows
• Collaborate with engineering teams to use AI agents to optimize workflows, security, and cost efficiency
• Research and develop standards, and tools for AI Agent usage and implementation
• Meet with vendors and stay knowledgeable on AI Agent roadmaps and future products
• Meet with application and business units to develop robust AI Agent solutions
• Design and build autonomous AI agents that can perform multi-step, complex tasks and make decisions independently.
• Develop robust and secure integrations (e.g., APIs, webhooks, or custom connectors) to enable AI agents to connect with and take actions within enterprise systems
• Create and manage a network of specialized AI agents that work together to solve complex business problems, including designing protocols for communication and task handoff
• Translate complex business processes into automated, agent-driven workflows and implement the logic for those tasks
• Implement and manage secure authentication and authorization protocols to ensure all agent actions are secure and compliant with enterprise security policies
• Monitor the health and performance of integrations and AI agents, troubleshoot issues, optimize workflows, and improve agents' behavior from feedback
• Provide support and knowledge on enterprise automation needs and help guide teams on how to automate workflows via AI agents or scripts and code

• Master's or bachelor's degree in information & computer science
• 5+ years of previous automation and developer coding experience
• 3+ years of Customer Service and Technical Leadership
• 2+ years of experience in AI tool and support
• 2+ years of Agentic AI development
• 2+ years of Agent AI integrations using various tools
• Strong understanding of AI Agent development using tools such as Google Agentspace, Gemini, ChatGPT, and Microsoft Co Pilot
• Strong troubleshooting skills in the development of AI agents using various tools
• Strong experience in implementing and managing AI agents once they are deployed
• Experience in integrations using AI Agents, knowing how to connect to various data sources or SaaS applications
• Strong proficiency in languages like Python as well as Java or JavaScript for Agent AI development
• Experience in successfully deploying AI Agent solutions
• A solid understanding of core AI and machine learning concepts, including NLP, reinforcement learning, and the use of large language models (LLMs)
• Hands-on experience with AI/ML libraries and frameworks
• Experience in deploying AI tools and services Enterprise-wide
• Experience in documenting workflows and how integrations work
• Experience in securing AI Agents properly
• Strong decision making and operational skills
• Excellent verbal and written communication skills
• Proven track record of AI agent development and solutions using AI Agents
• Have excellent problem-solving skills utilizing both internal and external resources to get the job done
• Strong knowledge of how applications work and are deployed
• Strong knowledge of various AI tools and what benefits they provide
• Understanding of public cloud platforms such as AWS, Azure and GCP
• Self-starter and motivator with ability to work in team and solo