Senior AI Engineer: Cloud-Native ML & GenAI Lead

Socket.dev; Tysons (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Cellebrite in Tysons, VA is seeking a talented software engineer to join the Corellium team, building scalable, cloud-native AI solutions on AWS. You will design infrastructure, implement job orchestration, and integrate AI services into investigative workflows.

The role blends research and production work, delivering data-driven ML algorithms from idea to POC. Candidates should have strong Python and TypeScript skills, experience with AWS ML services, Kubernetes, and modern CI/CD practices.

Qualifications

• Proficiency in Python and Typescript with API development experience.
• Hands-on experience with AWS services (SageMaker, Lambda) and cloud-native architectures.
• Experience with ML libraries (PyTorch, Pandas, NumPy) and data processing.
• Able to write clean code and contribute to documentation and best practices.
• Familiarity with GitHub workflows, secrets management, and secure deployment.
• Experience with Kubernetes-based deployments (EKS) and GenAI infrastructure.
• Must be a U.S. Citizen.

Responsibilities

• Design and implement features for AWS-based AI solutions, incl. orchestration and API integrations.
• Develop and maintain CI/CD pipelines with GitHub Actions and CDK.
• Improve observability with dashboards and logging.
• Collaborate with cross-functional teams to integrate AI services into broader workflows.
• Troubleshoot deployment issues and ensure reliable runtimes.

Skills

Python

Typescript

API development

Cloud-native architectures

ML concepts

Tools

AWS SageMaker

AWS Lambda

AWS Bedrock

CDK

GitHub Actions

Kubernetes

Amazon EKS

PyTorch

Pandas

NumPy

Datadog

Job description

Cellebrite in Tysons, VA is seeking a talented software engineer to join the Corellium team, building scalable, cloud-native AI solutions on AWS. You will design infrastructure, implement job orchestration, and integrate AI services into investigative workflows.

The role blends research and production work, delivering data-driven ML algorithms from idea to POC. Candidates should have strong Python and TypeScript skills, experience with AWS ML services, Kubernetes, and modern CI/CD practices.