AI Engineer - REMOTE USA

Acliviti Consulting Group, LLC•*, IL, IL

1d•Remote

About The Position

Acliviti is a vendor-neutral consultancy that helps enterprise organizations define strategy, lead execution, and provide ongoing support. We co-create client visions, align internal teams, and help them stay ahead of what's next. Our clients are enterprise organizations modernizing their customer engagement ecosystem, seeking true stakeholder alignment, and navigating complex transformation programs. We solve problems by leading clients through a continuous improvement cycle with three integrated service areas: Strategy, Execution, and Managed Solutions & Support. This role focuses on Artificial Intelligence & Data Segmentation within Managed Solutions & Support.

Requirements

Demonstrated experience with conversational AI, virtual agents, LLMs, APIs, integrations, and software engineering.
Ability to learn the Cognigy platform quickly.
Strong AI engineering and integration fundamentals.
Ability to quickly learn and apply skills within the Cognigy platform.
Experience designing and developing conversational AI, chatbots, virtual agents, or voice assistants.
Understanding of conversational flows, dialogue management, intents, and business logic.
Experience working with Generative AI and Large Language Models (LLMs).
Prompt engineering and LLM configuration.
Understanding of AI response validation, guardrails, fallback logic, and escalation.
Experience optimizing AI interactions based on performance and user feedback.
Strong JavaScript / TypeScript or comparable programming experience.
Python experience preferred.
Strong understanding of software development fundamentals.
Ability to develop and consume REST APIs.
Experience working with JSON, webhooks, and event-driven integrations.
Experience with Git/GitHub or similar source-control platforms.
Strong debugging and troubleshooting skills.
Ability to work within established development standards and frameworks.
Experience integrating applications with enterprise systems.
Strong understanding of REST APIs, authentication, webhooks, and data exchange.
Experience integrating CRM, ERP, databases, or other backend applications.
Experience working with third-party SaaS platforms.
Understanding of OAuth, API keys, tokens, and other authentication mechanisms.
Experience integrating AI solutions into existing technology ecosystems.
Experience working with one or more LLM platforms (OpenAI / Azure OpenAI, Anthropic, Google Gemini, or similar).
Understanding of prompt engineering and LLM behavior.
Experience with RAG / knowledge retrieval is preferred.
Understanding of AI safety, security, privacy, and governance.
Experience working with AWS, Azure, or GCP.
Understanding of cloud-based application architecture.
Familiarity with Docker/containerized applications.
Understanding of CI/CD concepts.
Experience working across Development, QA, UAT, and Production environments.
Familiarity with logging, monitoring, and application troubleshooting.
Experience creating and executing test cases for software or AI applications.
Conversational AI testing and validation.
API and integration testing.
Regression testing.
Performance and reliability testing.
Ability to identify root causes and resolve technical defects.
Experience analyzing AI/conversation performance and identifying opportunities for improvement.
Experience working in an Agile/Scrum development environment.
Experience with Jira or similar project management tools.
Ability to translate requirements into technical solutions.
Experience working from user stories and acceptance criteria.
Ability to estimate development effort.
Strong documentation skills.
Ability to work collaboratively with Architects, PMs, Product Owners, and client stakeholders.

Nice To Haves

Understanding of voice AI, speech recognition, and text-to-speech.
Understanding of embeddings and vector databases is a plus.
Experience implementing AI agents or agentic workflows is a plus.
Understanding of contact center technologies and customer experience platforms.
Experience with IVR, chat, messaging, or digital customer engagement.
Knowledge of platforms such as Five9, NICE CXone, Genesys, Amazon Connect, or similar is preferred.
Understanding of call routing, queues, skills, transfers, dispositions, and agent escalation.
Experience integrating AI with contact center environments is highly desirable.

Responsibilities

Design and develop conversational AI, chatbots, virtual agents, or voice assistants.
Work with Generative AI and Large Language Models (LLMs).
Perform prompt engineering and LLM configuration.
Implement AI response validation, guardrails, fallback logic, and escalation.
Optimize AI interactions based on performance and user feedback.
Develop and consume REST APIs.
Integrate applications with enterprise systems.
Integrate AI solutions into existing technology ecosystems.
Implement AI agents or agentic workflows.
Create and execute test cases for software or AI applications.
Perform conversational AI testing and validation.
Perform API and integration testing.
Perform regression testing.
Perform performance and reliability testing.
Identify root causes and resolve technical defects.
Analyze AI/conversation performance and identify opportunities for improvement.
Translate requirements into technical solutions.
Work from user stories and acceptance criteria.
Estimate development effort.
Document work and solutions.
Collaborate with Architects, PMs, Product Owners, and client stakeholders.