Description

You will build and maintain features for an AWS-based AI solution, owning the full lifecycle from orchestration to deployment.

This role is on-site.

Responsibilities

• Design and implement job orchestration, manifest generation, and API integrations for the AI solution.
• Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure including SageMaker, Lambda, and Bedrock.
• Ensure code quality through unit testing, performance testing, and observability enhancements.
• Integrate AI services into broader investigation workflows with cross-functional teams.
• Troubleshoot deployment issues and improve monitoring tools.

Required Skills

• 10+ years of professional software engineering experience.
• Proficiency in Python and Typescript, including API development and cloud-native architectures.
• Hands-on experience with AWS services, specifically SageMaker and Lambda.
• Experience with ML libraries: PyTorch, Pandas, and NumPy.
• Ability to write clean, maintainable code and document engineering practices.
• Familiarity with GitHub workflows and secure deployment practices.
• Experience with Kubernetes and Amazon EKS deployments.

Preferred Skills

• Experience with GenAI infrastructure and LLM integration.
• Knowledge of observability tools like Datadog.

Key Skills

Education

Any Graduate