Senior Software Engineer, AI Platform

Job Description

Senior Software Engineer, AI Platform

Location: San Francisco, CA (Hybrid)

About Us

We are a fast-growing, innovative technology company at the forefront of revolutionizing [mention industry, e.g., “data intelligence” or “customer experience”]. Our mission is to [state mission, e.g., “empower businesses with actionable insights through cutting-edge AI solutions”]. We pride ourselves on a culture of collaboration, continuous learning, and pushing the boundaries of what’s possible with artificial intelligence. Join a dynamic team dedicated to building scalable, robust, and intelligent platforms that redefine industry standards.

The Opportunity

We are seeking a highly skilled and passionate Senior Software Engineer to join our Artificial Intelligence Platform team. In this pivotal role, you will be instrumental in designing, developing, and maintaining the core infrastructure that powers our next-generation AI products and services. You’ll work on complex challenges at scale, contributing directly to the foundational components that enable our data scientists and product teams to build, train, deploy, and monitor advanced machine learning models efficiently and reliably. If you thrive in an environment where your code directly impacts business outcomes and shapes the future of AI, this is the role for you.

Key Responsibilities

• Design and Development: Lead the design and implementation of scalable, fault-tolerant, and high-performance services and APIs for our AI platform, using modern programming languages and distributed systems technologies.
• Infrastructure Building: Develop and enhance core AI infrastructure components, including data pipelines for feature engineering, model training frameworks, inference engines, and model deployment/monitoring systems.
• Performance & Scalability: Optimize the platform for performance, reliability, and cost-efficiency, ensuring it can handle vast amounts of data and complex computational workloads.
• Collaboration: Work closely with data scientists, machine learning engineers, and product managers to understand their needs, translate requirements into technical specifications, and deliver robust solutions.
• Code Quality & Best Practices: Champion best practices in software development, including code reviews, automated testing, continuous integration/delivery (CI/CD), and documentation.
• Mentorship: Provide technical leadership and mentorship to junior engineers, fostering a culture of technical excellence and growth within the team.
• Innovation: Stay abreast of the latest advancements in AI/ML, distributed systems, and cloud technologies, evaluating and recommending new tools and approaches to improve our platform.

Qualifications

• Experience: 5+ years of professional experience in software engineering, with a significant focus on building scalable backend systems or AI/ML infrastructure.
• Programming Proficiency: Expert-level proficiency in at least one modern programming language (e.g., Python, Java, Go, Scala), with a strong understanding of data structures, algorithms, and software design patterns.
• Distributed Systems: Proven experience with designing and implementing distributed systems, microservices, and event-driven architectures.
• Cloud Platforms: Hands-on experience with major cloud providers (AWS, GCP, or Azure), including knowledge of relevant services (e.g., S3, EC2, Kubernetes, Kafka, Spark, Flink).
• Data Technologies: Familiarity with big data technologies and distributed processing frameworks (e.g., Spark, Hadoop, Kafka, Flink).
• Databases: Experience with both relational and NoSQL databases (e.g., PostgreSQL, Cassandra, DynamoDB).
• Problem-Solving: Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges independently and collaboratively.
• Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Preferred Qualifications

• Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Sagemaker, TFX).
• Understanding of machine learning concepts and lifecycle, including model training, inference, and evaluation.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
• Contributions to open-source projects related to AI/ML or distributed systems.
• Experience working in a fast-paced, agile development environment.

Why Join Us?

• Impact: Play a critical role in shaping the future of our AI products and directly contribute to our company’s success.
• Innovation: Work with cutting-edge technologies and solve challenging problems that push the boundaries of AI.
• Growth: Opportunities for continuous learning, professional development, and career advancement.
• Culture: Be part of a collaborative, inclusive, and supportive team that values innovation and excellence.
• Compensation: Competitive salary, equity options, and comprehensive benefits package.
• Benefits: Flexible work arrangements, generous PTO, health, dental, and vision insurance, 401k matching, parental leave, wellness programs, and more.

Ready to Make an Impact?

If you are a driven and experienced Senior Software Engineer looking to make a significant impact on an innovative AI platform, we encourage you to apply! Join us in building the future of [mention industry].

How to Apply

Please submit your resume and a cover letter detailing your relevant experience and why you are interested in this role through our careers page: [Link to Careers Page]