Staff Software Engineer - AI at Talkdesk 2

Talkdesk is seeking a Staff Software Engineer to play a critical role in shaping AI-driven architectures for their next-generation intelligent customer engagement platforms. The role will directly impact how AI-powered customer experiences are shaped, enhancing the intelligence and efficiency of next-generation service platforms.

Talkdesk is a company focused on redefining customer experience, and championing an inclusive and diverse culture.

Role Involves:

• Designing, developing, and delivering a cloud-based data foundation system and AI agent platform.
• Leveraging AI/ML models and applying prompt engineering techniques.
• Collaborating with cross-functional teams to deliver a high-performance, reliable, scalable service with assured AI quality.
• Leading architectural discussions and providing technical design and strategic guidance.
• Driving long-term technical strategy and influencing engineering roadmaps across multiple teams.
• Mentoring and providing technical leadership, fostering a collaborative and innovative development culture.
• Staying 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.
• 10+ years of experience in backend development for cloud-based services.
• Proficiency in Java, Python, C++, C#, Kotlin, Scala, or similar languages.
• 5+ years of experience building and optimizing data-intensive services.
• Experience working with distributed data platforms and modern data architectures.
• Proven ability to drive architectural decisions and technical strategy.
• Strong written and verbal English communication skills.
• Prior experience with data platforms and/or AI services is highly desirable.
• Experience in data science and practical experience applying AI/ML models is a plus.

Talkdesk offers:

• Opportunity to work with cutting-edge technologies including AI, big data analytics and LLMs.
• Be part of a wold-class engineering team.
• Chance to contribute to a globally recognized, pre-IPO leader in technology.
• Hybrid work model.