Senior Software Engineer - AI

Job Description

Talkdesk is seeking a Senior Software Engineer - AI to contribute to the design and development of AI-driven architectures. The ideal candidate will help shape AI-powered customer experiences, enhancing the intelligence and efficiency of Talkdesk's service platforms. This role involves working with cutting-edge technologies, including AI, big data analytics, LLMs, data mining, and business intelligence (BI).Talkdesk is looking for someone passionate about technology and eager to contribute to a globally recognized leader in customer experience solutions.Responsibilities:

• Develop and enhance a cloud-based data foundation system and AI agent platform.
• Utilize technologies such as data and pattern mining, business intelligence (BI), and data transformation and processing.
• Collaborate with cross-functional teams to deliver a high-performance, reliable, scalable service with assured AI quality.
• Contribute to architectural discussions, providing technical design input.
• Participate in shaping the engineering roadmap, ensuring solutions are scalable and extensible.
• Support and mentor junior engineers, fostering a collaborative and innovative development culture.
• Stay up-to-date with industry trends and advancements in AI and data engineering.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in backend development for cloud-based services.
• Proficiency in Java, Python, C++, C#, Kotlin, Scala, or similar languages.
• Experience building and optimizing data-intensive services.
• Strong problem-solving skills and ability to design scalable solutions for AI-driven services.
• Strong written and verbal English communication skills.
• Prior experience with data platforms and/or AI services is highly desirable.
• Experience working with distributed data platforms and modern data architectures is a plus.
• Experience in data science and practical experience applying AI/ML models is a plus.

The role offers:

• Opportunity to work with cutting-edge technologies like AI, big data, and LLMs.
• A chance to contribute to a globally recognized, pre-IPO leader in technology.
• A hybrid work model.