More jobs:
AI Sandbox Platform Developer
Job in
Houston, Harris County, Texas, 77001, USA
Listed on 2026-07-28
Listing for:
Apex Systems
Full Time
position Listed on 2026-07-28
Job specializations:
-
Software Development
Full Stack Developer, Backend Developer, Azure
Job Description & How to Apply Below
Senior Full-Stack Developer
K is seeking a senior full-stack developer to design and build a web-based management portal that provides unified access, authentication, monitoring, and governance across multiple AI development platforms, including AWS Bedrock/Sage Maker, Google Gemini Enterprise, and Microsoft Foundry. This solution will serve as a centralized gateway for developers to access AI environments while enabling usage tracking, cost controls, and platform administration.
Responsibilities
- Design and develop a web-based middleware application ("Atlas") that serves as a unified gateway to multiple AI platforms.
- Implement user onboarding, access provisioning, usage monitoring, and dashboard functionality across AWS, Google, and Microsoft AI ecosystems.
- Integrate enterprise Single Sign-On (SSO) using Azure Active Directory and SAML authentication.
- Develop APIs and backend services to collect platform usage metrics, manage access controls, and enforce governance policies.
- Evaluate and recommend third-party monitoring or observability solutions (e.g., Datadog) when appropriate.
- Collaborate with K architects and stakeholders to deliver a prototype/MVP within a 3-month engagement.
Top Must-Haves:
- Strong full-stack web application development experience (C#/.NET) – any OOP broad ability to apply different software languages based on what's best for that application
- Understanding of AI/LLM platforms, including AWS Bedrock, Google Gemini, Azure AI Foundry
- Dashboard/management portal development
- Experience implementing SSO, Azure AD, and SAML-based authentication - know SAML protocol and how to connect middleware application to azure AD system (SAML 2.0 and Azure integration)
Nice to Haves:
- Experience with Data Dog
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