Full-Stack AI Engineer (AWS)

Bounteous
United States
Workplace: OnsiteContractFunction: Data Science & Machine LearningExperience: 3-5 yearsSkills: ["Production readiness","Testing","Debugging","Risk assessment","Technical documentation"]

Build and support full-stack AI solutions using Python and AWS AI services for enterprise, retail-focused use cases. You’ll implement integrations and agentic workflows, ensure testing, debugging, and production readiness, and provide engineering support and technical documentation. The role also includes promoting information security practices, assessing security risks, and helping ensure data privacy and protection compliance across the information lifecycle (e.g., GDPR/CCPA).

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FursaFursa
Bounteous
Bounteous
2 days ago

Full-Stack AI Engineer (AWS)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and support full-stack AI solutions using Python and AWS AI services for enterprise, retail-focused use cases. You’ll implement integrations and agentic workflows, ensure testing, debugging, and production readiness, and provide engineering support and technical documentation. The role also includes promoting information security practices, assessing security risks, and helping ensure data privacy and protection compliance across the information lifecycle (e.g., GDPR/CCPA).
Location: United States
Workplace: Onsite
Employment Type: Contract
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop full-stack AI functionality using Python and AWS AI services.
  • •Implement and support integrations and agentic use cases using APIs and integration patterns.
  • •Support engineering delivery with testing, debugging, deployment readiness, and production support.
  • •Create and maintain technical documentation related to AI engineering and production readiness.
  • •Promote information security practices, identify and report security risks, and ensure data protection measures comply with privacy standards (GDPR, CCPA).

Key Requirements

  • •3–5 years of hands-on full-stack engineering experience using Python and AWS AI services.
  • •Experience building integrations using APIs and integration patterns, including agentic workflows.
  • •Strong engineering practices for testing, debugging, deployment support, and production readiness.
  • •Understand and support information security practices, including malware protection and password security.
  • •Assess security and privacy requirements for data storage, processing, or transmission with compliance expectations (e.g., GDPR, CCPA).
Experience:3-5 yearsEnterpriseRetailAIAgentic workflows
Skills:Production readinessTestingDebuggingRisk assessmentTechnical documentation
Tech Stack:PythonAWS AI servicesAPIs

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Bounteous
Bounteous is a digital experience consultancy that designs, builds, and optimizes digital products, platforms, and customer experiences for enterprise brands across marketing, commerce, and analytics.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Chicago, United States
Founded: 2003
WebsiteLinkedIn