AI Engineer - REMOTE USA

Acliviti Consulting Group, LLC•Chicago, IL

1h•Remote

About The Position

Acliviti is seeking a Senior AI Implementation Engineer to build and deploy AI-powered customer experience solutions for enterprise clients. This hands-on engineering role covers development, configuration, integration, testing, and deployment of conversational AI and automation solutions. The engineer translates business and technical requirements into production-ready implementations using platforms such as Cognigy and other conversational AI technologies, working with LLMs, AI agents, APIs, enterprise applications, and cloud technologies to deliver reliable, scalable solutions and measurable customer outcomes. The role collaborates with project managers, architects, engineers, and clients throughout the implementation lifecycle, including development, user acceptance testing, go-live, and ongoing optimization. It includes building conversational experiences across voice and digital channels; integrating them with contact center, telephony, and enterprise systems; testing and supporting production deployments; and contributing to technical documentation, reusable components, standards, and best practices.

Requirements

At least 5 years of experience in software engineering, technical implementation, enterprise integrations, or professional services.
Hands-on experience implementing conversational AI, virtual agents, chatbots, voicebots, or AI-powered applications.
Experience with conversational AI platforms such as Cognigy, PolyAI, Google CCAI, Amazon Lex, or similar technologies.
Strong JavaScript skills, including experience with APIs, JSON, variables, and custom logic.
Experience integrating enterprise applications using REST APIs, webhooks, and authentication mechanisms.
Experience with LLMs, prompt engineering, and AI-powered conversational workflows.
Experience integrating solutions with enterprise contact center or telephony environments.
Understanding of contact center concepts such as IVR, ACD, call routing, skills, queues, and agent transfers.
Experience with technical troubleshooting, testing, debugging, and production deployments.
Ability to independently investigate and resolve technical issues across multiple platforms.
Strong communication, problem-solving, and client-facing collaboration skills.
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Nice To Haves

Hands-on implementation experience with Cognigy, PolyAI, or similar platforms.
Experience integrating conversational AI with NICE CXone, Genesys Cloud, or similar CCaaS platforms.
Experience with SIP-based voice integrations and telephony troubleshooting.
Experience with RAG, knowledge retrieval, and enterprise knowledge integrations.
Experience implementing agentic AI workflows and tool-based automation.
Experience with Salesforce, ServiceNow, or similar enterprise platforms.
Experience with Python or TypeScript.
Experience with AWS, Azure, or GCP.
Experience with Git/GitHub, CI/CD practices, and development lifecycle management.
Experience delivering solutions within a consulting or professional services environment.

Responsibilities

Build, configure, and deploy conversational AI solutions across voice and digital channels.
Develop conversational flows, bot logic, intents, entities, business rules, prompts, and AI agent workflows.
Configure LLM-powered capabilities, knowledge retrieval, and RAG where appropriate; implement AI agents and agentic workflows.
Implement guardrails, fallback logic, validation, error handling, escalation paths, context management, session variables, and conversational data handling.
Optimize conversational experiences using testing, performance results, and customer feedback, translating business requirements and functional designs into production-ready solutions.
Integrate conversational AI platforms with contact center solutions such as NICE CXone and Genesys Cloud; configure and troubleshoot voice integrations, routing, transfers, and live-agent escalation.
Implement telephony integrations using SIP, APIs, webhooks, or native platform connectors, including AI-to-agent handoffs with conversation context and customer information.
Work with IVR, ACD, skills, queues, and routing configurations; troubleshoot issues across conversational AI, telephony, and contact center systems in collaboration with CCaaS engineers and architects.
Develop conversational logic, integrations, API orchestration, and data transformations; build and consume REST APIs and work with JSON, webhooks, and event-driven integrations.
Integrate AI solutions with CRM, ERP, databases, knowledge bases, and other enterprise applications; configure and troubleshoot OAuth, API keys, and tokens.
Develop and troubleshoot JavaScript-based logic and custom integrations, using Python or TypeScript where appropriate; use Git/GitHub and established development practices.
Develop and execute test cases; perform functional, integration, regression, and performance testing across voice and digital channels.
Validate AI responses, conversational flows, business logic, integrations, system behavior, error handling, and escalation scenarios; troubleshoot defects, analyze logs, and identify root causes.
Support client UAT, production readiness, deployments, go-live, and post-production stabilization; monitor performance and implement improvements based on production behavior and customer feedback.
Create and maintain technical, integration, and configuration documentation and support runbooks.
Work with clients, architects, project managers, and internal technical teams to clarify requirements; participate in discovery, solution reviews, and implementation discussions.
Identify technical dependencies, risks, and integration requirements early; communicate technical issues, findings, and recommendations clearly.
Provide technical support for demos, prototypes, and proof-of-concepts; own assigned implementation activities and deliverables.
Contribute reusable components, implementation templates, development standards, and best practices; stay current on conversational AI, agentic AI, and CCaaS advancements.