AI Engineer - REMOTE USA
Company: Acliviti Consulting Group, LLC
Role summary
AI Engineer - REMOTE USA is a role at Acliviti Consulting Group, LLC in Illinois, United States (remote). Posted 2026-09-09. Experience level: 2-5.
- Job title
- AI Engineer - REMOTE USA
- Company
- Acliviti Consulting Group, LLC
- Location
- Illinois, United States
- Work arrangement
- remote
- Category
- AI & Machine Learning
- Experience level
- 2-5
- Date posted
- 2026-09-09
Ready for a career where you can build and deploy cutting-edge AI solutions from anywhere in the US? This remote AI Engineer role offers a fantastic opportunity to work with innovative technologies and grow your skills in a dynamic consulting environment. If you're passionate about AI and want to make a real impact, this could be the perfect fit.
Job description
AI Engineer - Cognigy
100% remote
1099 Contractor
Why We’re Different:
Acliviti doesn’t just advise clients - we co-create their vision, align internal teams, and help them stay ahead of what’s next. We are a vendor-neutral consultancy that helps enterprise organizations define strategy, lead execution, and provide ongoing support - all while aligning stakeholders and delivering outcomes that matter.
We Are:
Experts in customer experience delivering operational and technical transformation
Strategic partners who stay engaged before, during, and after implementation to ensure objectives are achieved
Boardroom translators - connecting CX vision, technical platforms, and financial value
Outcome-driven professionals who know 95% of spend is on human capital, not just tech
Remote-first and cross-functional, with deep expertise across industries
Our Clients Are:
Enterprise organizations modernizing their customer engagement ecosystem
CX, IT, Operations, and Finance leaders seeking true stakeholder alignment
Teams navigating complex transformation programs with high visibility and high stakes
Businesses who need business cases, vendor guidance, and enterprise-class execution
Companies looking to optimize revenue & cost models, reduce friction, and drive customer growth
How We Solve:
We lead clients through a continuous improvement cycle with three integrated service areas:
Strategy: We help clients define where they’re going - and how to get there.
Customer Experience Design
Performance Optimization
Transformation Capabilities
Execution: We lead execution across people, platforms, and processes.
Technical Platform & Capabilities
Operational Management
Data & Analytics
Managed Solutions & Support: We stay engaged post-launch to ensure long-term success.
Operational & Technical Oversight
Outcome & Expense Management
Artificial Intelligence & Data Segmentation
The ideal candidate should have demonstrated experience with conversational AI, virtual agents, LLMs, APIs, integrations, and software engineering and be capable of learning the Cognigy platform quickly.
Experience with platforms such as Dialogflow, Microsoft Copilot Studio, Amazon Lex, Google CCAI, Kore.ai, IBM Watson, Yellow.ai, Voiceflow, or similar conversational AI platforms would be considered relevant transferable experience.
The successful candidate will have strong AI engineering and integration fundamentals and the ability to quickly learn and apply those skills within the Cognigy platform.
Conversational AI & Automation
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
Understanding of voice AI, speech recognition, and text-to-speech is a plus
Programming & Software Engineering
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
API & Systems Integration
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
AI / LLM Technologies
Experience working with one or more LLM platforms
OpenAI / Azure OpenAI, Anthropic, Google Gemini, or similar experience
Understanding of prompt engineering and LLM behavior
Experience with RAG / knowledge retrieval is preferred
Understanding of embeddings and vector databases is a plus
Experience implementing AI agents or agentic workflows is a plus
Understanding of AI safety, security, privacy, and governance
Cloud & Technical Environment
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
Testing & Quality
Experience creating and executing test cases for software or AI applications
Conversational AI testing and validation
API and integration testing
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