Senior Software Engineer, AI Platform

April 3, 2026

Are you applying to the internship?

Job Description

Senior Software Engineer, AI Platform

Are you a passionate and experienced Software Engineer looking to make a significant impact on the future of artificial intelligence? Join our innovative and fast-paced team where you’ll design, develop, and deploy scalable AI infrastructure that powers our cutting-edge products and services. This is an incredible opportunity to work at the intersection of complex engineering challenges and groundbreaking AI research, contributing directly to technologies that will redefine industries.

About [Your Company Name]

[Your Company Name] is a pioneering technology leader dedicated to solving some of the world’s most complex problems through intelligent, data-driven solutions. With a relentless focus on innovation, collaboration, and continuous learning, we empower our employees to push boundaries and create revolutionary products that deliver immense value to our customers. We believe in fostering an inclusive and dynamic environment where bright minds can thrive, contribute to meaningful work, and grow their careers.

Our mission is to [briefly state company mission, e.g., “democratize access to advanced AI, making it usable and impactful for businesses of all sizes”]. We pride ourselves on a culture that encourages curiosity, ownership, and a commitment to excellence.

The Role: Senior Software Engineer, AI Platform

As a Senior Software Engineer on our AI Platform team, you will be instrumental in building and maintaining the core infrastructure that enables our data scientists and machine learning engineers to rapidly develop, train, and deploy AI models at scale. You will own significant portions of our platform, from foundational services to developer-facing tools, ensuring high performance, reliability, and usability. Your key responsibilities will include:

  • Designing and architecting robust, scalable, and highly available systems for model training, inference, data pipelines, and experiment tracking.
  • Developing and implementing core services and APIs for our machine learning platform, primarily using modern programming languages like Python, Go, or Java.
  • Optimizing performance of critical AI components, focusing on efficiency, latency, throughput, and resource utilization across our cloud infrastructure.
  • Collaborating closely with data scientists, ML engineers, and product teams to understand their needs, translate complex requirements into technical solutions, and provide expert guidance.
  • Ensuring best practices in software engineering, including rigorous code reviews, comprehensive testing strategies, clear documentation, and establishing robust CI/CD pipelines.
  • Mentoring junior engineers, sharing knowledge, and actively contributing to the overall technical growth and capabilities of the team.
  • Staying up-to-date with the latest advancements in AI/ML technologies, cloud computing, and distributed systems, advocating for and implementing relevant innovations.
  • Troubleshooting and debugging complex platform issues in production environments, ensuring high service availability and reliability.

Who You Are: Qualifications & Experience

We are looking for a highly motivated individual with a strong technical background and a proven track record of delivering high-quality, impactful software solutions in a fast-paced environment. Ideal candidates will possess:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 5+ years of professional software development experience, with a significant portion focused on building scalable backend systems or AI/ML infrastructure.
  • Strong proficiency in at least one modern programming language (e.g., Python, Go, Java) and deep experience with object-oriented design patterns, data structures, and algorithms.
  • Extensive experience with cloud platforms (AWS, GCP, Azure) and a solid understanding of cloud-native architectures.
  • Proficiency with containerization technologies (Docker) and orchestration platforms (Kubernetes).
  • Solid understanding of distributed systems, microservices architecture, and API design (RESTful, gRPC).
  • Experience with various data storage solutions, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., Cassandra, MongoDB, Redis).
  • Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn is highly desirable.
  • Excellent problem-solving skills, analytical thinking, and meticulous attention to detail.
  • Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.

Bonus Points (Nice-to-Haves)

While not strictly required, the following would be a significant advantage:

  • Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Sagemaker, Airflow).
  • Contributions to open-source projects, particularly in the AI/ML or cloud infrastructure space.
  • Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
  • Knowledge of data warehousing solutions (e.g., Snowflake, BigQuery) and ETL processes.
  • Experience with performance tuning and optimization of large-scale systems.
  • Advanced degree (Ph.D.) in a relevant technical field.

What We Offer

Joining [Your Company Name] means becoming part of a vibrant community where your work is valued, your voice is heard, and your professional growth is prioritized. We offer a comprehensive benefits package designed to support your professional and personal well-being, including:

  • Competitive salary and equity options, reflecting your impact and experience.
  • Comprehensive health, dental, and vision insurance for you and your family.
  • Flexible work arrangements, including remote-friendly options and generous paid time off.
  • Opportunity for professional development through conferences, online courses, and a robust mentorship program.
  • State-of-the-art equipment and a collaborative, inclusive work environment.
  • Delicious catered meals, snacks, and beverages (for in-office employees).
  • Regular team building events, social activities, and company-wide celebrations.
  • A chance to work on cutting-edge technology that impacts millions of users and shapes the future of AI.
  • 401(k) matching program to support your financial future.

How to Apply

If you are excited by the prospect of building the future of AI and meet the qualifications outlined above, we strongly encourage you to apply! Please submit your resume and a cover letter outlining your relevant experience, key achievements, and why you believe you’d be a great fit for [Your Company Name] and this specific role. We look forward to hearing from you!

[Your Company Name] is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.