AI Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Design and enhance conversational AI, chatbots, virtual agents, or voice assistants utilizing the Cognigy platform.

• Set up conversational workflows, manage dialogues, define intents, implement business logic, prompts, and LLMs.

• Execute AI response validation, establish guardrails, fallback logic, and escalation processes.

• Improve AI interactions by leveraging performance metrics and user insights.

• Develop and utilize REST APIs, and create JSON, webhook, and event-driven integrations.

• Connect AI solutions with enterprise systems, including CRM, ERP, databases, backend applications, and third-party SaaS platforms.

• Collaborate with authentication systems such as OAuth, API keys, and tokens.

• Implement AI agents, agentic workflows, RAG, knowledge retrieval, embeddings, and vector database solutions where relevant.

• Engage with cloud-based application architectures across AWS, Azure, or GCP.

• Utilize Docker/containerized applications, CI/CD practices, and engage in logging, monitoring, and troubleshooting activities.

• Design and perform software, AI, conversational, API, integration, regression, performance, and reliability testing.

• Identify root causes and rectify technical defects.

• Analyze AI and conversation performance, pinpointing areas for enhancement.

• Operate in Agile/Scrum settings using Jira or similar tools.

• Convert requirements into technical solutions, assess development efforts, and document processes.

• Collaborate with Architects, PMs, Product Owners, and client stakeholders.

⛳️ Requirements

• Some relevant experience.

• Proven experience with conversational AI, virtual agents, LLMs, APIs, integrations, and software engineering.

• Quick adaptability to learn the Cognigy platform.

• Experience in designing and developing conversational AI, chatbots, virtual agents, or voice assistants.

• Comprehension of conversational workflows, dialogue management, intents, and business logic.

• Familiarity with Generative AI and Large Language Models (LLMs).

• Skills in prompt engineering and LLM configuration.

• Knowledge of AI response validation, guardrails, fallback logic, and escalation processes.

• Experience in optimizing AI interactions based on performance data and user feedback.

• Strong proficiency in JavaScript / TypeScript or equivalent programming languages.

• Python experience is preferred.

• Solid understanding of software development principles.

• Capability to develop and utilize REST APIs.

• Familiarity with JSON, webhooks, and event-driven integrations.

• Experience with Git/GitHub or similar source control systems.

• Strong debugging and troubleshooting abilities.

• Experience in integrating applications with enterprise systems, including 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 comparable LLM platforms.

• Familiarity with AWS, Azure, or GCP.

• Knowledge of Docker/containerized applications and CI/CD concepts.

• Experience in Development, QA, UAT, and Production environments.

• Proven experience in creating and executing test cases for software or AI applications.

• Background in conversational AI, API, integration, regression, performance, and reliability testing.

• Experience working in an Agile/Scrum development environment.

• Familiarity with Jira or similar project management tools.

• Ability to convert requirements into technical solutions and work from user stories and acceptance criteria.

• Capability to estimate development efforts.

• Strong documentation skills.

• Ability to collaborate effectively with Architects, PMs, Product Owners, and client stakeholders.

• Contact center experience is a plus, but not mandatory.

• 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 engage in enterprise customer experience, technical transformation, artificial intelligence, and data segmentation initiatives.