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
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

Agile & Delivery

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

CCaaS / Contact Center Experience – NICE TO HAVE NOT NEEDED

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

AI Engineer - REMOTE USA

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