Artificial Intelligence Engineer

Job Description

Its a W2 Role and only local to Illinois required.

The AI Engineer will design, develop, and implement AI-powered chatbot/AI agent solutions, with a strong focus on end-to-end conversation orchestration, enterprise integrations, and customer experience continuity. This role will ensure scalable, performant, and cost-efficient AI solutions by bridging AI capabilities with business workflows and enterprise systems.

Major Responsibilities

• Design and develop AI chatbot/AI agent solutions aligned to business use cases and intents
• Own and implement the end-to-end conversation orchestration layer, including decision logic, tool usage, and multi-step interaction flows
• Integrate AI solutions with enterprise systems such as CRM (D365), SAP, contact center platforms (e.g., Genesys), and knowledge bases
• Develop and manage APIs, middleware, and data pipelines to support AI interactions
• Implement context-aware handoff to live agents (Genesys), ensuring full conversation history and intent propagation for seamless customer experience
• Collaborate with business analysts, vendors, and internal teams to ensure accurate solution design and implementation
• Support prompt design, response tuning, and model interaction workflows
• Optimize solutions for latency, cost per interaction, and response accuracy
• Ensure scalability, reliability, and performance of AI solutions in production environments
• Participate in testing, debugging, and deployment activities across pilot and MVP phases
• Monitor system performance and drive continuous improvement of AI capabilities
• Adhere to enterprise standards for security, compliance, and data privacy

Education

• Bachelor’s degree in computer science, Engineering, or a related field required
• Master’s degree preferred

Work Experience

• 5+ years of software development experience
• 2–3 years of hands-on experience in AI/ML or conversational AI development
• Experience in AI agent development and orchestration frameworks preferred
• Experience integrating with enterprise platforms such as D365, SAP, and contact center systems (e.g., Genesys)

Knowledge, Skills, and Abilities

• Strong programming skills in Python, JavaScript, or Java
• Experience with AI/LLM frameworks, APIs, and orchestration tools
• Deep demonstratable understanding of conversation orchestration, dialog management, and context handling
• Knowledge of REST APIs, microservices architecture, and enterprise integrations
• Familiarity with cloud platforms (Azure, AWS, or GCP)
• Understanding of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering
• Ability to optimize for performance, latency, and cost efficiency
• Strong problem-solving and debugging skills
• Ability to work in Agile development environments
• Effective communication and collaboration skills across cross-functional teams

Preferred Qualifications

• Experience with platforms such as Kore.ai, Yellow.ai, Cognigy, or similar
• Exposure to multi-LLM orchestration and model selection strategies
• Experience with real-time voice and chat integrations (e.g., Genesys Cloud)
• Knowledge of DevOps practices, CI/CD pipelines, and monitoring tools
• Familiarity with Responsible AI, security, and compliance frameworks