Description:

We are looking for an experienced AI Engineer to implement and optimize AI-powered products and solutions.
In this role, you will work with cross-functional teams to apply, fine-tune, and scale AI models, ensuring they deliver real-world impact.
You will focus on optimizing performance, integrating AI into production systems, and enabling seamless deployment.
Key responsibilities include applying and optimizing AI models to enhance ShyftLabs' data and AI products.
You will integrate AI solutions into scalable production environments and fine-tune models for performance, reliability, and cost efficiency.
Collaboration with engineers and data scientists is essential to ensure seamless AI deployment.
You will leverage cloud and infrastructure tools to support AI-driven applications and stay up to date with AI advancements and best practices.
Documenting processes and implementations to improve scalability and knowledge sharing is also part of the role.

Requirements:

A Bachelor’s degree in Computer Science, AI, Data Science, or a related field is required.
You must have 2+ years of experience in AI/ML engineering, software development, or data-driven solutions.
Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn are necessary.
Proficiency in SQL is required.
Experience integrating AI models into scalable production systems is essential.
Strong software engineering skills, including experience with API development, microservices, and distributed systems, are needed.
Familiarity with cloud platforms such as AWS, GCP, or Azure and MLOps best practices is important.
An understanding of system design and architecture to support AI applications is required.
Excellent problem-solving skills and the ability to optimize AI-driven applications are necessary.
Strong communication skills to collaborate with cross-functional teams and stakeholders are essential.

We offer a competitive salary alongside a strong healthcare insurance and benefits package.
The role is able to be fully remote anywhere within the United States, with a preference for those located in or near Austin, Texas.
We pride ourselves on the growth of our employees, offering extensive learning and development resources.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment.