Junior AI Engineer

We are seeking a motivated Junior AI Engineer to join our dynamic team. In this role, you will be at the forefront of AI research and development, focusing on the latest ComfyUI workflows and tools. You will design, test, and deploy these workflows as scalable SaaS solutions while collaborating with experienced teams to drive innovation and efficiency.

Key Responsibilities:

AI Research & Development:

• Conduct cutting-edge AI research with a focus on the latest ComfyUI workflows and tools.
• Explore and integrate new methodologies to enhance workflow performance.

Workflow Testing & Optimization:

• Develop and test ComfyUI workflows ensuring robustness and reliability.
• Collaborate with cross-functional teams to iterate and improve existing workflows.

SaaS Deployment:

• Transform ComfyUI workflows into scalable SaaS products.
• Build, deploy, and maintain APIs and integrations with cloud services.

Cloud Infrastructure & DevOps:

• Work with cloud platforms such as AWS, Runpod, and ComfyDeploy.
• Utilize Docker and serverless architectures to optimize deployment processes.
• Participate in setting up CI/CD pipelines, ensuring smooth, continuous integration, and delivery.

Required Qualifications:

Technical Expertise:

• Comfortable conducting AI research focused on ComfyUI workflows.
• Proficiency in testing and building ComfyUI workflows.
• Experience turning AI workflows into SaaS solutions.
• Solid understanding of APIs and hands-on experience with cloud platforms (AWS, Runpod, ComfyDeploy).

Development Experience:

• Junior Developer level experience with a proven track record in similar roles.
• Familiarity with Docker, Huggingface, and serverless computing.

Preferred Skills and Additional Expertise:

Cloud Architecture & DevOps:

• Knowledge of advanced cloud architecture concepts including auto-scaling, load balancing, and fault tolerance.
• Experience with container orchestration platforms (e.g., Kubernetes) and infrastructure as code (e.g., Terraform).

Security & Monitoring:

• Understanding of security best practices, API key management, and compliance standards.
• Experience with monitoring tools (Prometheus, CloudWatch) and logging solutions.

Performance Optimization & Cost Management:

• Skills in optimizing GPU utilization, memory management, and response times.
• Ability to manage and optimize cloud costs effectively.

Community Engagement & Documentation:

• Proactive in staying up-to-date with industry trends and contributing to the AI community.
• Strong documentation skills to support collaborative development and maintain clear records of processes

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