Conversational AI Engineer in India at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Conversational AI Engineer based in India.

This role offers the opportunity to design and build advanced conversational AI solutions that transform customer engagement through intelligent automation.
You will develop enterprise-grade virtual assistants and voice solutions using modern AI platforms, cloud technologies, and backend services.
The position involves creating seamless customer experiences across digital and contact-center channels while ensuring scalability and security.
You will work on complex AI-driven projects, combining conversational design, software engineering, and machine learning practices.
The role requires strong technical expertise, problem-solving abilities, and a passion for improving AI-powered interactions.
You will collaborate with cross-functional teams to deliver reliable, production-ready conversational applications that create measurable business impact.

The Conversational AI Engineer will be responsible for designing, developing, deploying, and optimizing enterprise conversational solutions. This role focuses on building intelligent virtual assistants, integrating AI systems with business platforms, and continuously improving customer experiences through data-driven enhancements.

• Design and develop conversational AI solutions using Dialogflow CX and related conversational AI platforms.
• Build and manage conversational components including intents, entities, flows, pages, routes, fulfillment logic, and session/state management.
• Develop and maintain backend webhook services using REST APIs, FastAPI, Node.js, or Java.
• Integrate virtual assistants with contact-center platforms, telephony systems, IVR solutions, and human-agent escalation workflows.
• Create and optimize customer journeys across voice and digital communication channels.
• Perform NLU testing, conversation testing, regression testing, and ongoing bot performance improvements.
• Implement AI governance practices, security controls, responsible AI approaches, and conversation guardrails.
• Deploy and manage production webhook services using cloud platforms such as Google Cloud Run, Cloud Functions, and GKE.
• Monitor conversational analytics, identify improvement opportunities, and optimize dialogue flows for better user experiences.
• Collaborate with business stakeholders, contact-center teams, and engineering teams to define automation opportunities and conversational strategies.
• Support production environments by troubleshooting issues and improving reliability, scalability, and performance.

The ideal candidate is an experienced AI and software engineering professional with strong knowledge of conversational platforms, backend development, and cloud-based AI deployments. They should have experience delivering production-level virtual assistants and the ability to work across technical and business domains.

• 6+ years of experience in AI/ML, data science, software engineering, or related technical fields.
• Minimum 3 years of experience with Generative AI, LLMs, RAG, conversational AI, or ML productionization.
• Strong experience designing and developing enterprise conversational AI applications.
• Hands-on expertise with Dialogflow CX or equivalent conversational AI platforms such as Amazon Lex, IBM Watson Assistant, Rasa, Kore.ai, or similar solutions.
• Experience building conversational components including intents, entities, flows, routes, fulfillment, and state management.
• Strong backend development skills using REST APIs, FastAPI, Node.js, or Java.
• Experience integrating AI assistants with contact-center platforms, telephony systems, IVR solutions, and agent handoff workflows.
• Knowledge of NLU testing, conversation testing, regression testing, and conversational performance optimization.
• Experience implementing bot security practices, governance frameworks, safety controls, and AI guardrails.
• Experience with Google Cloud Conversational AI, CCAI Platform, Agent Assist concepts, and cloud deployment services such as Cloud Run, Cloud Functions, or GKE.
• Understanding of contact-center platforms such as Genesys, NICE, Amazon Connect, Five9, Avaya, Twilio Flex, or equivalent.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to collaborate effectively with technical teams, business stakeholders, and customer experience teams.
• Nice to have: experience with CX Agent Studio, multilingual bot design, voice bot latency optimization, conversational analytics, and human-in-the-loop AI workflows.

• Remote work flexibility from India.
• Opportunity to work on innovative AI and automation projects with enterprise-scale impact.
• Exposure to advanced conversational AI, cloud technologies, and modern software engineering practices.
• Opportunity to contribute to the future of intelligent customer engagement solutions.
• Collaborative and inclusive work environment that values diverse perspectives.
• Continuous learning opportunities in AI, machine learning, and emerging technologies.
• Opportunity to work with cross-functional teams across technology and business domains.