SDE III Conversational AI Developer

Accountabilities: Design, develop, and implement conversational flows using platforms such as Cognigy, Yellow.ai, Kore.ai, Amazon Lex, Microsoft LUIS, Google Dialogflow, and IBM Watson. Develop and maintain application logic and integrations using Node.js or Python, including API integrations, complex workflows, code optimization, and impact analysis. Support iterative conversational NLU and NLP design, using performance data and user interactions to recommend improvements across multiple releases. Define the data requirements and metrics needed to evaluate conversational application performance and identify opportunities for optimization. Understand and work with the data structures that support chatbot applications to improve functionality, reliability, and performance. Participate actively in Agile ceremonies, technical discussions, application reviews, and collaborative development activities. Work closely with business, product, and engineering stakeholders to understand requirements, address technical challenges, and deliver effective solutions. Support applications throughout their lifecycle while continuously expanding knowledge of conversational AI principles, platform capabilities, and emerging technologies. Stay informed about industry trends and new platform features to identify opportunities for continuous improvement. Work the required shift from 2:00 p.m. to 11:00 p.m. India Standard Time (IST). Requirements Between 8 and 12 years of relevant software development experience. Strong programming skills in Node.js or Python, including experience with API integrations, complex application logic, code optimization, and impact analysis. Hands-on experience implementing conversational AI solutions using one or more platforms, such as Cognigy, Yellow.ai, Kore.ai, Amazon Lex, Microsoft LUIS, Google Dialogflow, or IBM Watson. Certification in at least one conversational AI platform, such as Cognigy, Yellow.ai, Kore.ai, Amazon Lex, Microsoft LUIS, Google Dialogflow, or IBM Watson. Understanding of conversational AI, natural language processing (NLP), natural language understanding (NLU), chatbot data structures, and conversational flow design. Experience analyzing application performance data, defining meaningful metrics, and using insights to improve conversational experiences across releases. Familiarity with Agile software development methodologies and experience collaborating within iterative development teams. Proficiency with project management and collaboration tools such as JIRA for issue tracking, workflow management, and team coordination. Strong analytical and problem-solving abilities, particularly when investigating complex technical issues. Excellent communication and collaboration skills, with the ability to work effectively with technical teams and business stakeholders. A commitment to continuous learning and staying current with evolving technologies, conversational AI capabilities, and industry best practices. Willingness and availability to work from 2:00 p.m. to 11:00 p.m. IST. Benefits Competitive compensation: A performance-oriented compensation program designed to recognize employee contributions. Healthcare coverage: Medical, dental, and vision benefits, subject to applicable eligibility and company policies. Fully remote work: The flexibility to work remotely from India. Career development: Opportunities to expand technical expertise and grow professionally within a rapidly evolving technology environment. High-potential career growth: Opportunities to develop skills in conversational AI, software engineering, and intelligent automation. Collaborative culture: The opportunity to work with business, product, and engineering leaders and contribute to cross-functional initiatives. Continuous learning: Exposure to modern conversational AI platforms, emerging technologies, and evolving industry practices. Values-driven environment: A workplace that emphasizes integrity, excellence, accountability, mutual respect, and continuous improvement.