Sr. Software Dev Engineer, SageMaker AI

Role responsibilities

You will architect and deliver core components for AI-powered data preparation, including auto-labeling and human-in-the-loop workflows within SageMaker. Additionally, you will drive technical strategy, mentor engineers, and establish quality standards for AI agents and models.

Requirements

Candidates must have at least 5 years of professional software development experience, including expertise in system architecture and design. Proficiency in building ML pipelines or data processing systems at scale is preferred, along with hands-on experience with LLMs.

Key skills

Software development, Distributed systems, Machine learning, Data preparation, LLMs, Auto-labeling, Human-in-the-loop, System architecture, Cloud computing, Mentorship, Data processing, Evaluation infrastructure, Prompting, Fine-tuning, Confidence calibration, Reliability

Keywords

SageMaker, AWS, Software Development Engineer, Machine Learning, LLM, Data Quality, Auto-labeling, Human-in-the-loop, Distributed Systems, Cloud Computing, Data Processing, Evaluation Infrastructure, Prompting, Fine-tuning, Confidence Calibration, Architecture, Mentorship, Scalability, Reliability, Data Governance, Annotation, Ground Truth, Software Engineering, API, Infrastructure