Senior Software Engineer I
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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, with a strong focus on scalability, reliability, and performance.
- Proficiency in Java, Python, C++, C#, Kotlin, Scala, or similar languages.
- Experience building and optimizing data-intensive services, including data processing, transformation, storage, and retrieval at scale.
- 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, such as Apache Spark, Databricks, Kafka, Delta Lake, or similar is a desirable.
- Experience in data science and practical experience applying AI/ML models is a plus.
- Additional Notes:
- This position will follow a hybrid work model.
- Work Environment and Physical Requirements:
- Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)
Benefits
Additional Information
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? As a Senior Software Engineer, you will contribute to the design and development of AI-driven architectures that power our next-generation intelligent customer engagement platforms. Your contributions will help shape AI-powered customer experiences, enhancing the intelligence and efficiency of our service platforms. Job Responsibilities: Develop and enhance a cloud-based data foundation system and AI agent platform. This involves leveraging AI/ML models, applying prompt engineering techniques, and conducting data analysis across structured, semi-structured, and unstructured data. 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 high-performance, reliable, scalable service with assured AI quality. Contribute to architectural discussions, providing technical design input and ensuring alignment with the overall technology roadmap while adopting best practices effectively and independently. Participate in shaping the engineering roadmap, ensuring solutions are scalable and extensible while meeting business needs. Support and mentor junior engineers, fostering a collaborative and innovative development culture. Stay up-to-date with industry trends, emerging technologies, and advancements in AI and data engineering.
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Company Intel
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