Junior AI Engineer – Job Opportunity

We are excited to announce an opening for a Junior AI Engineer to join our dynamic team. As part of this role, you will be directly involved in AI research and development, specializing in the latest ComfyUI workflows and tools. If you are passionate about cutting-edge technology and AI innovation, this is your chance to contribute to creating scalable, cloud-based SaaS solutions.

Key Responsibilities:

AI Research & Development:

• Conduct AI research focusing on the latest ComfyUI workflows and tools.

• Explore and integrate new AI methodologies to enhance workflow performance.

• Stay up-to-date with AI trends to continuously improve workflow efficiency and effectiveness.

Workflow Testing & Optimization:

• Develop and thoroughly test ComfyUI workflows, ensuring their robustness and reliability.

• Collaborate with cross-functional teams to iterate on and improve existing workflows.

• Ensure workflows are optimized for maximum performance.

SaaS Deployment:

• Transform ComfyUI workflows into scalable SaaS products.

• Build, deploy, and maintain APIs and integrations with cloud services for seamless scalability.

• Ensure smooth deployment and scaling of AI solutions through cloud platforms.

Cloud Infrastructure & DevOps:

• Work with cloud platforms such as AWS, Runpod, and ComfyDeploy.

• Utilize Docker and serverless architectures to streamline deployment processes.

• Participate in setting up CI/CD pipelines, ensuring smooth continuous integration and delivery.

Required Qualifications:

Technical Expertise:

• Proficiency in conducting AI research, particularly focused on ComfyUI workflows.

• Experience in testing and building robust ComfyUI workflows.

• Proven experience in transforming AI workflows into scalable SaaS solutions.

• Solid understanding of APIs and hands-on experience with cloud platforms like AWS, Runpod, and ComfyDeploy.

Development Experience:

• At least Junior Developer level experience with a 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 such as auto-scaling, load balancing, and fault tolerance.

• Experience with container orchestration platforms like Kubernetes and infrastructure as code tools like Terraform.

Security & Monitoring:

• Understanding of security best practices, including API key management and compliance standards.

• Experience with monitoring tools such as 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, ensuring cost-efficient AI deployment.

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.

Why Join Us?

• Be part of an innovative team at the forefront of AI research.

• Work on exciting AI and cloud-based projects.

• Gain hands-on experience with leading-edge cloud platforms and technologies.

• Opportunities for professional growth and skill development in AI, SaaS, and cloud infrastructure.

If you are passionate about AI and eager to contribute to transformative projects, we would love to hear from you! Apply now and become part of a company that values innovation, collaboration, and continuous learning.