Senior AI Engineer, Cloud-Native ML on AWS

Cellebrite; New York (NY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Cellebrite in New York is seeking a talented developer to join our Corellium team and build scalable, cloud-native AI solutions on AWS. You will design and maintain AI workflows, ensure robust observability, and contribute to end-to-end data-driven investigations.

You’ll research machine learning algorithms, prototype new approaches, and work across a heterogeneous team to push for real-time inference and reliable deployments. This role requires US citizenship and strong Cloud/ML skills.

Qualifications

• Proficiency in Python and Typescript with API development experience.
• Hands-on AWS services experience (SageMaker, Lambda, Bedrock).
• Experience with ML libraries such as PyTorch, Pandas and NumPy.
• Ability to write clean, maintainable code and document best practices.
• Familiarity with GitHub workflows, secrets management and secure deployments.
• Experience with EKS and Kubernetes deployments.
• Experience with GenAI infrastructure, semantic caching, and LLM integration.
• Knowledge of observability tools like Datadog and log aggregation.

Responsibilities

• Design and implement features for an AWS-based AI solution including orchestration and API integrations.
• Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure.
• Ensure code quality through unit tests, performance tests, and observability enhancements.
• Collaborate with cross-functional teams to integrate AI services into workflows and runtimes.
• Troubleshoot deployments and improve dashboards and monitoring tools.

Skills

Python

Typescript

API development

Cloud-native architectures

GitHub workflows

Observability

Secure deployment practices

Kubernetes (EKS)

GenAI infrastructure

LLM integration

Datadog

Tools

SageMaker

Lambda

Bedrock

PyTorch

Pandas

NumPy

Job description

Cellebrite in New York is seeking a talented developer to join our Corellium team and build scalable, cloud-native AI solutions on AWS. You will design and maintain AI workflows, ensure robust observability, and contribute to end-to-end data-driven investigations.

You’ll research machine learning algorithms, prototype new approaches, and work across a heterogeneous team to push for real-time inference and reliable deployments. This role requires US citizenship and strong Cloud/ML skills.