This is a fully remote position, open to applicants in United States.

• Design and implement features for an AI solution based on AWS, which includes job orchestration, manifest generation, and API integrations.

• Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure such as SageMaker, Lambda, and Bedrock.

• Conduct research and develop machine learning algorithms to convert forensic data into investigation leads, evidence, and intelligence insights.

• Create data-driven applications and prototype innovative algorithms.

• Analyze data and assess the performance of algorithms.

• Manage projects from conception through data and algorithm research to proof-of-concept development.

• Ensure code quality and reliability by implementing unit tests, performance tests, and enhancements for observability.

• Collaborate with cross-functional teams to embed AI services into broader investigation workflows and runtime environments.

• Resolve deployment issues and enhance dashboards and monitoring tools.

• Strong proficiency in Python and Typescript, with experience in API development and cloud-native architectures.

• Practical experience with AWS services, including SageMaker, Lambda, and others.

• Familiarity with machine learning libraries such as PyTorch, Pandas, NumPy, and associated data processing tools.

• Capability to write clean, maintainable code and contribute to shared documentation and best practices.

• Understanding of GitHub workflows, secrets management, and secure deployment practices.

• Experience with Amazon EKS and Kubernetes-based deployments.

• Familiarity with GenAI infrastructure, semantic caching, and LLM integration.

• Knowledge of observability tools like Datadog and log aggregation strategies.

• Must be a U.S. Citizen.

• Comprehensive health and wellness benefits package.

• Opportunities for professional development and career advancement.

• Flexible work arrangements to promote work-life balance.

Senior AI Engineer

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