Senior AI Engineer
Skills
AlgorithmsAmazon EKSAmazon Web ServicesBedrockBusiness InsightsContinuous ImprovementLarge Language Models
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Proficiency in Python and Typescript with experience in API development and cloud-native architectures
- Hands-on experience with AWS services including SageMaker Lambda and related tools
- Experience with machine learning libraries such as PyTorch Pandas NumPy and data processing tools
- Ability to write clean maintainable code and contribute to shared documentation and best practices
- Familiarity with GitHub workflows secrets management and secure deployment practices
- Familiarity with Amazon EKS and Kubernetes-based deployments
- Experience with GenAI infrastructure semantic caching and LLM integration
- Knowledge of observability tools like Datadog and log aggregation strategies
- Must be a U.S. Citizen
Nice to have
- Driven
- Talented
- Analytical
- Experimental
- Collaborative
Day to day
- Design and implement scalable AWS-based AI features including job orchestration manifest generation and API integrations
- Develop and maintain CI/CD pipelines with GitHub Actions CDK and AWS services such as SageMaker Lambda and Bedrock
- Research prototype and evaluate machine learning algorithms to turn forensic data into investigation leads evidence and intelligence insights
- Collaborate with cross-functional teams to integrate AI services into broader investigation workflows and runtime environments
- Troubleshoot deployment issues and improve dashboards monitoring tools and observability across cloud-native systems