Prophecy Technologies
Backend Engineering Lead – AI Platforms
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term Backend Engineering Lead – AI Platforms position based in Atlanta, GA/Remote, offering a competitive pay rate. Key skills include Python, Node.js, AI tools, and DevOps. Experience in automation and enterprise environments is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 22, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#DevOps #Deployment #AI (Artificial Intelligence) #Documentation #Automation #Databases #Security #Python #GitHub #Scala
Role description
Job Title: Backend Engineering Lead – AI Platforms
Location : Atlanta, GA/Remote
Duration: Long Term
Job Description
• Design and build backend services, automation workflows, APIs, integrations, and reusable components using Python and/or Node.js.
• Leverage AI-assisted coding tools such as Windsurf, GitHub Copilot, or similar platforms to accelerate development while maintaining high engineering standards.
• Review, validate, debug, refactor, and optimize AI-generated code for correctness, security, performance, scalability, and maintainability.
• Troubleshoot issues across application logic, APIs, Apigee, databases, integrations, deployment pipelines, and enterprise environments.
• Adhere to established project structures, coding standards, documentation practices, DevOps processes, and enterprise engineering guidelines.
• Collaborate effectively with technical leads, architects, product owners, business stakeholders, and cross-functional teams.
• Support rapid experimentation and prototyping while ensuring solutions can mature into production-ready systems.
• Assist with testing, integration, deployment support, issue resolution, and post-implementation improvements.
Job Title: Backend Engineering Lead – AI Platforms
Location : Atlanta, GA/Remote
Duration: Long Term
Job Description
• Design and build backend services, automation workflows, APIs, integrations, and reusable components using Python and/or Node.js.
• Leverage AI-assisted coding tools such as Windsurf, GitHub Copilot, or similar platforms to accelerate development while maintaining high engineering standards.
• Review, validate, debug, refactor, and optimize AI-generated code for correctness, security, performance, scalability, and maintainability.
• Troubleshoot issues across application logic, APIs, Apigee, databases, integrations, deployment pipelines, and enterprise environments.
• Adhere to established project structures, coding standards, documentation practices, DevOps processes, and enterprise engineering guidelines.
• Collaborate effectively with technical leads, architects, product owners, business stakeholders, and cross-functional teams.
• Support rapid experimentation and prototyping while ensuring solutions can mature into production-ready systems.
• Assist with testing, integration, deployment support, issue resolution, and post-implementation improvements.
