AI Engineer

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

📋 Description

• Design, configure, and deploy conversational AI solutions across both voice and digital platforms.

• Create conversational flows, bot logic, intents, entities, business rules, prompts, and workflows for AI agents.

• Set up and integrate LLM-driven features, knowledge retrieval, and RAG.

• Implement AI agents, establish guardrails, fallback logic, validation, error management, and escalation procedures.

• Integrate conversational AI systems with CCaaS and telephony platforms, including NICE CXone and Genesys Cloud.

• Configure voice integrations, call routing, transfers, IVR, ACD, skills, queues, and handoffs to live agents.

• Develop conversational logic, API orchestration, data transformations, REST APIs, webhooks, and custom integrations.

• Connect solutions with CRM, ERP, databases, knowledge bases, and other enterprise applications.

• Utilize JavaScript, Python, or TypeScript alongside Git/GitHub for development and collaborative work.

• Create and run functional, integration, regression, and performance tests.

• Diagnose defects, analyze logs, identify root causes, and resolve technical challenges.

• Assist clients during UAT, deployments, go-live processes, post-production stabilization, and performance monitoring.

• Generate and maintain technical documentation, configuration guides, integration specifics, and support runbooks.

• Collaborate with clients, architects, project managers, CCaaS engineers, and internal technical teams.

• Engage in discovery sessions, solution evaluations, demos, prototypes, and proof-of-concept projects.

• Identify dependencies and risks, manage implementation deliverables, and contribute to reusable components and development standards.

⛳️ Requirements

• Over 5 years of experience in software engineering, technical implementation, enterprise integrations, or professional services.

• Practical experience in implementing conversational AI, virtual agents, chatbots, voicebots, or AI-driven applications.

• Familiarity with conversational AI platforms such as Cognigy, PolyAI, Google CCAI, Amazon Lex, or similar technologies.

• Strong proficiency in JavaScript, particularly with APIs, JSON, variables, and custom logic.

• Experience in integrating enterprise applications via REST APIs, webhooks, and authentication protocols.

• Knowledge of LLMs, prompt engineering, and AI-driven conversational processes.

• Experience with solutions integrated into enterprise contact center or telephony environments.

• Understanding of IVR, ACD, call routing, skills, queues, and agent transfer processes.

• Background in technical troubleshooting, testing, debugging, and production deployments.

• Ability to independently investigate and resolve technical issues across various platforms.

• Excellent communication, problem-solving, and client-facing collaboration abilities.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

• Preferred: Experience with Cognigy, PolyAI, NICE CXone, Genesys Cloud, SIP, RAG, agentic AI, Salesforce, ServiceNow, Python, TypeScript, AWS, Azure, GCP, Git/GitHub, CI/CD, and consulting or professional services.

• Authorization to work in the United States is required.

• Availability to work as a 1099 contractor is requested.

🏝️ Benefits

• A remote-first work environment.

• Full-time employment opportunity.

• Chance to work with cutting-edge conversational AI and agentic AI technologies.

• Exposure to projects transforming enterprise customer experiences.

• Collaboration with cross-functional teams and enterprise clients.