Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.
Job Title: AI Full-Stack Engineers
Location: Scottsdale, Arizona (Onsite - 5 Days/Week)
Job Type: Fulltime
Domain: Retail
About the Role:
Senior full-stack AI engineers with 3–5 years of hands-on engineering experience using Python, model and API integration, prompt and agent engineering, evaluation harnesses, AWS AI services, Azure AI, Azure AI Foundry, Copilot Studio, Azure OpenAI, APIs, integration patterns, agentic workflows, retrieval and grounding patterns, testing, debugging, DevSecOps practices, deployment support, observability, and enterprise documentation.
Primary Responsibilities
Build and support AI-enabled use cases, agents, automation workflows, APIs, prototypes, production-ready components, evaluations, test plans, technical documentation, operational handoff materials, and platform integration patterns across AWS and Azure.
Required Qualifications
Education
- Bachelor’s degree in computer science, Information Systems, Engineering, or related discipline.
- Equivalent work experience may be considered.
Information Security Responsibilities
Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
