Full-Stack AI Engineer - AWS AI

Bounteous
United States
Workplace: OnsiteContractFunction: Data Science & Machine LearningExperience: 3-5 yearsEducation: bachelorsSkills: ["Analytical problem-solving","Communication","Stakeholder management","Documentation","Independent cross-functional collaboration"]

Design, develop, deploy, and support enterprise-grade AI applications using AWS AI services and machine learning. Build scalable generative AI solutions with RAG, AI agents, and workflow orchestration, integrating them into modern web experiences via APIs and secure, maintainable architectures. Partner with business stakeholders, data scientists, cloud architects, product teams, and AI governance to turn AI use cases into production-ready capabilities that improve efficiency and customer experience.

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FursaFursa
Bounteous
Bounteous
3 days ago

Full-Stack AI Engineer - AWS AI

✓ 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

Design, develop, deploy, and support enterprise-grade AI applications using AWS AI services and machine learning. Build scalable generative AI solutions with RAG, AI agents, and workflow orchestration, integrating them into modern web experiences via APIs and secure, maintainable architectures. Partner with business stakeholders, data scientists, cloud architects, product teams, and AI governance to turn AI use cases into production-ready capabilities that improve efficiency and customer experience.
Location: United States
Workplace: Onsite
Employment Type: Contract
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and maintain AI-powered applications using AWS AI and machine learning services.
  • •Build scalable enterprise solutions using generative AI, RAG, intelligent workflows, and AI agents.
  • •Develop front-end and back-end components for AI-driven applications and APIs.
  • •Design reusable, secure, and performant application architectures and code following best practices.
  • •Collaborate with business stakeholders and technical teams to integrate AI services and translate AI use cases into production-ready solutions.

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field, or equivalent practical experience.
  • •3–5 years of hands-on software engineering experience.
  • •Experience building and deploying cloud-native applications.
  • •Experience working on AI, machine learning, or Generative AI projects.
  • •Experience supporting production enterprise applications.
Experience:3-5 yearsEnterprise applicationsCloud-nativeGenerative AI
Education:Bachelor's
Skills:Analytical problem-solvingCommunicationStakeholder managementDocumentationIndependent cross-functional collaboration
Tech Stack:AWSAWS AIMachine LearningGenerative AILarge Language ModelsLLMsRetrieval-Augmented Generation (RAG)AI agentsAPIsCloud-nativeWorkflow orchestrationModern web technologiesGDPRCCPA

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