AI Engineer
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Job Description
AI Engineer building Cognigy conversational AI, LLM, and API integrations. Supporting Acliviti’s enterprise customer-experience and technical-transformation consulting clients.
Responsibilities:
- Build and develop conversational AI, chatbots, virtual agents, or voice assistants on the Cognigy platform
- Configure conversational flows, dialogue management, intents, business logic, prompts, and LLMs
- Implement AI response validation, guardrails, fallback logic, and escalation
- Optimize AI interactions using performance data and user feedback
- Develop and consume REST APIs and build JSON, webhook, and event-driven integrations
- Integrate AI solutions with enterprise systems, CRM, ERP, databases, backend applications, and third-party SaaS platforms
- Work with authentication mechanisms including OAuth, API keys, and tokens
- Implement AI agents, agentic workflows, RAG, knowledge retrieval, embeddings, and vector database solutions where applicable
- Work with cloud-based application architectures across AWS, Azure, or GCP
- Use Docker/containerized applications, CI/CD processes, logging, monitoring, and troubleshooting practices
- Create and execute software, AI, conversational, API, integration, regression, performance, and reliability tests
- Identify root causes and resolve technical defects
- Analyze AI and conversation performance and identify improvement opportunities
- Work in Agile/Scrum environments using Jira or similar tools
- Translate requirements into technical solutions, estimate development effort, and document work
- Collaborate with Architects, PMs, Product Owners, and client stakeholders
Requirements:
- Some experience
- Demonstrated experience with conversational AI, virtual agents, LLMs, APIs, integrations, and software engineering
- Ability to learn the Cognigy platform quickly
- Experience designing and developing conversational AI, chatbots, virtual agents, or voice assistants
- Understanding of conversational flows, dialogue management, intents, and business logic
- Experience 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 with JSON, webhooks, and event-driven integrations
- Experience with Git/GitHub or similar source-control platforms
- Strong debugging and troubleshooting skills
- Experience integrating applications with enterprise systems, CRM, ERP, databases, backend applications, and third-party SaaS platforms
- Understanding of REST APIs, authentication, webhooks, data exchange, OAuth, API keys, and tokens
- Experience with OpenAI / Azure OpenAI, Anthropic, Google Gemini, or similar LLM platforms
- Experience working with AWS, Azure, or GCP
- Familiarity with Docker/containerized applications and CI/CD concepts
- Experience across Development, QA, UAT, and Production environments
- Experience creating and executing software or AI application test cases
- Conversational AI, API, integration, regression, performance, and reliability testing experience
- Experience working in an Agile/Scrum development environment
- Experience with Jira or similar project management tools
- Ability to translate requirements into technical solutions and work 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
- Contact center experience is nice to have, not required
- Authorization to work in the United States
- Availability to work as a 1099 contractor
Benefits:
- 100% remote work
- 1099 contractor arrangement
- Remote-first and cross-functional culture
- Opportunity to work on enterprise customer experience, technical transformation, artificial intelligence, and data segmentation initiatives
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