Senior Node.js Engineer & Conversational AI Developer

Job Summary

We are seeking a highly experienced Node.js developer (8–10 years) with strong expertise in conversational AI using Google Dialogflow CX. The ideal candidate will design, build, and maintain scalable back-end services, conversational workflows, and integrations that power enterprise-grade virtual agents across voice and chat channels.

Key Responsibilities

Node.js (Core Back-End Engineering)

• Architect, develop, and maintain scalable RESTful and event-driven services in Node.js.

• Design and optimize high-performance APIs to integrate with multiple systems (CRM, ERP, databases, 3rd party services).

• Implement secure coding practices, including input validation, authentication/authorization, and API rate limiting.

• Write unit/integration tests and enforce CI/CD best practices.

• Optimize application performance for high throughput and low latency in production environments.

• Collaborate with DevOps teams to containerize applications (Docker) and deploy on GCP services (Cloud Run, GKE, App Engine).

Conversational AI (Dialogflow CX & Contact Center AI)

• Design and implement conversational flows, intents, entities, and fulfillment logic in Dialogflow CX.

• Develop custom webhooks (Node.js/Express) to handle complex business logic and dynamic responses.

• Integrate Dialogflow CX with contact center platforms (e.g., Genesys, Avaya, Twilio, CCAI Insights).

• Configure and manage Dialogflow CX environments (Dev, QA, Stage, Prod) and CI/CD pipelines for agent promotion.

• Implement multi-turn, context-aware conversations with advanced Dialogflow CX features (event handlers, flows, routes).

• Ensure seamless omnichannel support (chatbots, IVR/telephony, messaging platforms).

• Work with NLP/NLU teams to continuously improve intent accuracy, training phrases, and entity recognition.

Collaboration & Leadership

• Work closely with product owners, designers, and conversation designers to translate requirements into natural conversational experiences.

• Mentor junior developers in Node.js and conversational AI best practices.

• Participate in code reviews, architecture discussions, and solution design sessions.

• Provide technical leadership for conversational AI projects, ensuring scalability and maintainability.

Required Qualifications

• 8–10 years of hands-on experience with Node.js (Express.js, Nest.js, or equivalent frameworks).

• Strong knowledge of JavaScript (ES6+), TypeScript, and asynchronous programming.

• Proven experience in designing APIs (REST, GraphQL) and integrating with external services.

• 3+ years of experience with Google Dialogflow CX (building, maintaining, and deploying production IVR Voice agents)

• Experience with GCP services (Cloud Functions, Cloud Run, Pub/Sub, Firestore/BigQuery).

• Solid understanding of webhooks, middleware, and backend fulfillment for chat/voice bots.

• Familiarity with contact center solutions and CCAI (Contact Center AI) integrations.

• Experience with Git, CI/CD pipelines, and agile development methodologies.

• Excellent problem-solving, debugging, and performance tuning skills.

Nice to Have (Preferred)

• Experience with other conversational AI platforms (Amazon Lex, Microsoft Bot Framework, Rasa).

• Knowledge of speech-to-text / text-to-speech integrations (Dialogflow ES/CX with TTS/STT APIs).

• Familiarity with Kubernetes, Docker, Terraform, Cloud Build.

• Experience with analytics & monitoring tools for conversational AI (Dialogflow Insights, BigQuery analysis).

• Strong understanding of security & compliance (PII handling, GDPR, HIPAA).

Soft Skills

• Strong communication skills to collaborate with cross-functional teams.

• Ability to lead and mentor junior engineers.

• Problem-solving mindset with focus on delivering scalable enterprise solutions.

• Passion for conversational AI, NLP, and user experience design.

Salary and Other Compensation:

The annual salary for this position is between $138,000/Year to $162,000/Year depending on the experience and other qualifications of the candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.