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

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