Full-Stack AI/Cloud Engineer

job summary: Role Overview: We are seeking two Full-Stack AI Engineers to design, build, and optimize AI-driven tools that streamline our Continuous Integration (CI) and deployment pipelines. In this role, you will collaborate closely with Product Owners to identify engineering pain points, evaluate ROI, and build high-impact solutions. Additionally, you will drive the optimization of Raptor, our flagship AI agentic assistant designed to reduce client support tickets.

Key Responsibilities:

AI Tooling & CI/CD: Partner with Product Owners to identify deployment bottlenecks and build custom AI tools that maximize operational ROI.

Agentic AI Optimization: Improve and scale "Raptor" (AI client assistant) to proactively resolve customer issues and decrease support ticket volume.

Full-Stack Development & Troubleshooting: Diagnose and resolve complex system issues, such as identifying and optimizing slow database queries.

location: Malvern, Pennsylvania job type: Contract salary: $51.78 - 56.78 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: Key Responsibilities:

• AI Tooling & CI/CD: Partner with Product Owners to identify deployment bottlenecks and build custom AI tools that maximize operational ROI.
• Agentic AI Optimization: Improve and scale "Raptor" (AI client assistant) to proactively resolve customer issues and decrease support ticket volume.
• Full-Stack Development & Troubleshooting: Diagnose and resolve complex system issues, such as identifying and optimizing slow database queries.

qualifications: Technical Stack & Requirements:

AI/LLMs: Heavy experience with AWS Bedrock and Anthropic models.

Core Development: Robut Python development skills with a full-stack engineering mindset.

Cloud & Infrastructure: Deep AWS cloud knowledge, specifically with ECS deployment, AWS Lambda, and API Gateway security.

Databases: Solid understanding of database architecture and the ability to diagnose performance/query bottlenecks.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.

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Key Responsibilities:

• AI Tooling & CI/CD: Partner with Product Owners to identify deployment bottlenecks and build custom AI tools that maximize operational ROI.
• Agentic AI Optimization: Improve and scale "Raptor" (AI client assistant) to proactively resolve customer issues and decrease support ticket volume.
• Full-Stack Development & Troubleshooting: Diagnose and resolve complex system issues, such as identifying and optimizing slow database queries.

Technical Stack & Requirements: AI/LLMs: Heavy experience with AWS Bedrock and Anthropic models. Core Development: Robut Python development skills with a full-stack engineering mindset. Cloud & Infrastructure: Deep AWS cloud knowledge, specifically with ECS deployment, AWS Lambda, and API Gateway security. Databases: Solid understanding of database architecture and the ability to diagnose performance/query bottlenecks.