Software Engineer, AI Platform

Job Description

Software Engineer, AI Platform

We are seeking a highly motivated and skilled Software Engineer to join our innovative AI Platform team. In this pivotal role, you will be instrumental in designing, developing, and maintaining scalable and robust infrastructure that empowers our data scientists and machine learning engineers to build, train, and deploy cutting-edge AI models efficiently. This is an opportunity to work at the forefront of artificial intelligence, contributing to systems that will shape the future of our products and services.

Key Responsibilities

• Design and develop core components of our AI platform, including data pipelines, model training frameworks, inference services, and MLOps tools.

• Build scalable and reliable infrastructure using cloud-native technologies (e.g., AWS, GCP, Azure) to support the entire machine learning lifecycle.

• Collaborate closely with data scientists and ML engineers to understand their needs and translate them into platform features and improvements.

• Optimize performance and resource utilization of AI workloads, ensuring cost-effectiveness and efficiency.

• Implement best practices for software engineering, including code reviews, automated testing, continuous integration, and continuous deployment (CI/CD).

• Contribute to the architectural evolution of the AI platform, ensuring its readiness for future growth and technological advancements.

• Troubleshoot and resolve complex technical issues related to the AI platform and underlying infrastructure.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

• 3+ years of professional experience in software development, with a strong focus on backend systems, distributed systems, or platform engineering.

• Proficiency in at least one modern programming language such as Python, Go, Java, or C++ (Python preferred).

• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).

• Solid understanding of data structures, algorithms, and software design principles.

• Familiarity with machine learning concepts and the ML lifecycle is a significant plus.

• Experience with big data technologies (e.g., Spark, Flink) or distributed databases is a bonus.

• Strong problem-solving skills and ability to work independently as well as in a team environment.

• Excellent communication and interpersonal skills.

What We Offer

• Competitive salary and comprehensive benefits package, including health, dental, and vision insurance.

• Generous paid time off and flexible working arrangements.

• Opportunities for professional growth and development, including conferences, workshops, and internal training programs.

• A dynamic and collaborative work environment with a diverse team of talented individuals.

• The chance to make a significant impact on cutting-edge AI products and technologies.

• State-of-the-art office facilities with amenities designed to foster productivity and well-being.

Application Process

Interested candidates are encouraged to apply by submitting their resume and a cover letter detailing their relevant experience and interest in this role. Please highlight any specific projects or contributions related to AI platforms or large-scale distributed systems. Qualified applicants will be contacted for an initial screening and subsequent interview rounds.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.