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Staff Software Engineer

TalkdeskSeattle, WA

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Job Description

Are you passionate about working with the most cutting-edge technologies, including AI, big data analytics, LLMs, data mining, and business intelligence (BI)? Are you looking to become part of a world-class engineering team? Do you aspire to contribute to a globally recognized, pre-IPO leader in technology?

If so, your dream job awaits you at Talkdesk. We are the global leaders in customer experience solutions powered by AI. Our mission is to elevate the customer service experience through our innovative cloud-based AI and big data technologies. We are currently seeking a Staff Software Engineer to join our AI engineering team and help drive our ambitious vision forward.

Job Responsibilities:

Design, develop, and deliver a cloud-based data foundation system and AI agent platform. This involves leveraging AI/ML models, applying prompt engineering, and conducting data analysis across all data types-unstructured, semi-structured, and structured. Additionally, utilize technologies such as data and pattern mining, business intelligence (BI), and data transformation and processing.

  • Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to deliver a reliable, scalable service with assured AI quality.
  • Participate in architectural discussions, providing technical design and guidance to ensure alignment with the overall technology roadmap and adoption of best practices.
  • Mentor and provide technical leadership to junior engineers, fostering a collaborative and innovative team environment.
  • Stay up-to-date with industry trends, emerging technologies, and advancements in AI and data engineering.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 10+ years of experience in cloud service backend development.
  • Strong development experience in Java, Python, C++, C#, or similar OO languages
  • 5+ years of experience in data-intensive service
  • Prior experience with data platforms and/or AI services is highly desirable.

Experience in data science is a plus

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