Leverage the industry standard AI tools to architect, design, build, deploy and maintain Model Serving infrastructure that supports a world-class Detection Engine
Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today
Own real-time, near real-time streaming pipelines, and online feature serving services
Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing

4+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building data-focused solutions.
Proficiency leveraging AI tools to accelerate engineering outcomes, through the discovery, design, implementation and rollout of software systems
Experience with maintaining large scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based engineering.
Familiarity with maintaining real-time and near real-time data pipelines or streaming services
Experience working with distributed teams, proficient in asynchronous and written communication
Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You’re capable of breaking down complex challenges into manageable steps and iterating on solutions, balancing immediate needs with long-term scalability.
You’re growth driven & looking to increase impact & responsibility over time
Strong fundamentals in computer science, data structures, and performance optimization.
BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

Software Engineer II – Model Platform

Key skills