Phoenix - Your AI AssistantFull Stack / DevOps / AI Engineer
- Posted:
- Proposals: 20
- Remote
- #4466240
- Open for Proposals
Karachi 
Description
Experience Level: Entry
We’re looking for a hands-on Full Stack / DevOps / AI Engineer to help finalize and deploy core systems for eyeora.
Responsibilities
Set up and maintain a production-ready deployment pipeline across GCP and AWS
Configure CI/CD, infrastructure, environments, and monitoring
Complete and ship an existing technical task to production standard
Integrate AI APIs (e.g. LLMs, vision, audio, automation) into eyeora’s platform
Work closely with product and engineering to optimize performance, cost, and scalability
Requirements
Strong experience with full stack development (frontend + backend)
Proven DevOps experience with GCP and/or AWS (Docker, CI/CD, cloud services)
Experience integrating and deploying AI/ML APIs
Ability to work independently and deliver end-to-end solutions
Pragmatic, startup-minded, execution-focused
Nice to have
Experience with media, XR, 3D, or real-time systems
Cost optimization and scaling experience
This is a practical, delivery-focused role with real ownership and impact on the eyeora platform.
Responsibilities
Set up and maintain a production-ready deployment pipeline across GCP and AWS
Configure CI/CD, infrastructure, environments, and monitoring
Complete and ship an existing technical task to production standard
Integrate AI APIs (e.g. LLMs, vision, audio, automation) into eyeora’s platform
Work closely with product and engineering to optimize performance, cost, and scalability
Requirements
Strong experience with full stack development (frontend + backend)
Proven DevOps experience with GCP and/or AWS (Docker, CI/CD, cloud services)
Experience integrating and deploying AI/ML APIs
Ability to work independently and deliver end-to-end solutions
Pragmatic, startup-minded, execution-focused
Nice to have
Experience with media, XR, 3D, or real-time systems
Cost optimization and scaling experience
This is a practical, delivery-focused role with real ownership and impact on the eyeora platform.
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What is the current state of the infrastructure and deployment (what’s already set up vs missing), and what specific outcome do you consider ‘production-ready’ for this engagement?