SDE III Conversational AI Developer

Jobgether

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Work arrangement
Remote
Occupation
Software & IT
Location
India
Compensation
Not disclosed
Apply by
April 13, 2027

About this role

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.

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