AI-Driven Full-Stack Engineer (Hybrid)

Relha LLC; New York (NY); Hybrid; USD 121,000 - 206,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Family care resources

Job summary

T. Rowe Price AI Lab is seeking a Full Stack Software Engineer to design, develop, and deploy autonomous AI systems within a scalable cloud-based environment. You will work with cross-functional squads and support Build-Operate-Transfer processes to scale responsible AI across the enterprise.

Hands-on AI work is valued; strong cloud and frontend/backend capabilities, plus a drive to implement best practices in CI/CD and testing, are essential for success in a hybrid work setup.

Qualifications

• Hands-on experience with cloud-native architectures (AWS, Azure) and microservices.
• Strong knowledge of AI and agent frameworks; professional experience preferred but not required.
• Excellent analytical and problem-solving abilities.
• Commitment to quality via automated testing and CI/CD.
• Willingness to learn and adapt to evolving technologies.

Responsibilities

• Design, build, test, and deploy AI agents and intelligent systems.
• Collaborate with business stakeholders to translate requirements into tech solutions.
• Apply best practices in AI development, CI/CD, and code quality.
• Contribute to agent orchestration, prompt engineering, and real-time automation.
• Manage technical debt and continuously improve AI platforms.
• Identify opportunities to increase business value through AI.

Skills

AI knowledge

Problem solving

Analytical thinking

CI/CD

Learning mindset

Tools

AWS

Azure

React/Angular

Job description

T. Rowe Price AI Lab is seeking a Full Stack Software Engineer to design, develop, and deploy autonomous AI systems within a scalable cloud-based environment. You will work with cross-functional squads and support Build-Operate-Transfer processes to scale responsible AI across the enterprise.

Hands-on AI work is valued; strong cloud and frontend/backend capabilities, plus a drive to implement best practices in CI/CD and testing, are essential for success in a hybrid work setup.