Software Engineer, AI Platform

Job Description

Software Engineer, AI Platform

Are you passionate about building the foundational technology that powers cutting-edge artificial intelligence? We are seeking a talented and driven Software Engineer, AI Platform to join our innovative team. In this role, you will play a critical part in designing, developing, and maintaining the scalable, high-performance infrastructure that supports our AI models and applications, from research to production.

About the Role

As a Software Engineer on the AI Platform team, you will be instrumental in creating the tools and systems that enable our machine learning engineers and data scientists to develop, train, deploy, and monitor AI models efficiently. You will work on challenging problems at the intersection of distributed systems, cloud infrastructure, and machine learning.

Key Responsibilities

• Design, develop, and maintain robust and scalable AI infrastructure, including data pipelines, model training environments, and inference services.
• Implement and optimize components for model lifecycle management, including versioning, serving, and monitoring.
• Collaborate closely with machine learning researchers, data scientists, and product teams to understand their needs and deliver impactful solutions.
• Build tools and automation to streamline the development, deployment, and operational aspects of machine learning models.
• Contribute to the evaluation and integration of new technologies and frameworks to enhance our AI platform capabilities.
• Ensure the reliability, performance, security, and cost-efficiency of our AI platform.
• Participate in code reviews, contribute to architectural discussions, and mentor junior engineers.

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 emphasis on building scalable backend systems.
• Strong proficiency in at least one modern programming language (e.g., Python, Go, Java).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Solid understanding of data structures, algorithms, and distributed systems principles.
• Familiarity with machine learning concepts and experience working with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven ability to write clean, maintainable, and well-tested code.
• Excellent problem-solving skills and a proactive approach to tackling complex technical challenges.

Desired Skills & Bonus Points

• Experience with MLOps tools and practices (e.g., Kubeflow, MLflow, Airflow).
• Knowledge of big data technologies (e.g., Spark, Flink, Kafka).
• Experience with GPU-accelerated computing.
• Familiarity with database technologies (SQL and NoSQL).
• Contributions to open-source projects related to AI or cloud infrastructure.
• Previous experience working in a fast-paced, agile development environment.

What We Offer

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Flexible work schedule and generous paid time off.
• Opportunities for professional growth and development, including conference attendance and continuous learning programs.
• A collaborative, inclusive, and intellectually stimulating work environment where your contributions have a direct impact.
• State-of-the-art office facilities with amenities designed for comfort and productivity.
• Regular team events, social gatherings, and a vibrant company culture.

About Our Company

We are a cutting-edge technology company dedicated to pushing the boundaries of what’s possible with artificial intelligence. Our mission is to [Insert Company Mission Here – e.g., empower businesses with intelligent solutions, revolutionize industries through AI innovation, etc.]. We foster a culture of innovation, collaboration, and continuous learning, believing that the best ideas emerge from a diverse and inclusive team working together towards a common goal. Join us and be a part of a team that’s building the future of AI.

Application Process

Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and why they are passionate about this role. Qualified applicants will be contacted for an initial screening, followed by technical interviews and a final round focused on problem-solving and cultural fit. We look forward to hearing from you!