Description

You will design, develop, and deploy secure, scalable AI/ML applications and data pipelines on AWS.

This role is remote.

Responsibilities

• Lead end-to-end development of AI/ML and cloud-based applications from concept to production.
• Design and maintain secure AWS infrastructure focusing on scalability, performance, and compliance.
• Implement AI/ML best practices including prompt engineering, data versioning, and A/B testing.
• Develop high-performance applications, APIs, and ETL pipelines supporting modernization goals.
• Write clean, testable code following SOLID principles and maintain detailed technical documentation.

Required Skills

• 7+ years of experience in software engineering, data management, or cloud application development.
• Strong proficiency in Python; Java is a plus.
• Hands-on experience with AWS services (EC2, Lambda, S3, RDS, CloudFront).
• Experience with LLMs, model deployment, and prompt engineering.
• Proficiency in SQL (DB2, SQL Server, PostgreSQL) and NoSQL (MongoDB, DynamoDB).
• Knowledge of containerization (Docker, Kubernetes) and DevOps tools (Terraform, Jenkins).
• Experience with Agile/SAFe practices and CI/CD pipelines.

Preferred Skills

• Master’s degree in Computer Science, Engineering, or related field.
• Azure cloud experience.
• Experience with C# or JavaScript/TypeScript.

Key Skills

Education

Any Graduate