The company is looking to solve real-world business problems by designing, developing, and deploying AI solutions that drive business value and enhance user experience.
Requirements
Experience with containerization technologies (e.g., Docker, Kubernetes)
Experience with real-time data streaming technologies (e.g., Apache Kafka, Amazon Kinesis)
Experience with vector databases and embedding systems
Knowledge of AI safety, responsible AI practices, and model governance
Experience with A/B testing frameworks for AI systems
5+ years of experience building and deploying applications on cloud platforms such as AWS, Azure, or Google Cloud
Proof of successful deployment of LLM-based agents or workflows to automate work for a commercial (profitable) use-cases integrated into production software.
Responsibilities
Designing: Architect greenfield autonomous agent systems and robust tools to integrate AI capabilities into existing applications.
Developing: Build and maintain web services using modern cloud technologies and best practices.
Testing: Ensure AI tools, workflows, and agent systems meet performance, accuracy, and reliability standards through comprehensive testing and monitoring.
Other
Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related field
8+ years of experience in full-stack software development with focus on AI/ML systems
Reports to a manager, director, or executive-level position and does not have any direct reports.
