AI Engineer

Job not on LinkedIn

🕒 May 7

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Teamficient

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🤝 B2B

B2B • Healthcare

Teamficient is a woman- and minority-owned company that provides managed remote-office solutions and dedicated virtual assistants to businesses. They supply trained, bilingual remote professionals and managed teams with US-based account managers, offering services such as administrative support, customer support, bookkeeping, technical support, and specialty support for driving schools and healthcare practices (including EHR support, patient scheduling, prescription coordination, and HIPAA/privacy training). Teamficient operates managed remote call centers, emphasizes training and security, and offers month-to-month engagements to help businesses scale and offload routine tasks.

📋 Description

• Design and build AI-powered applications using LLMs, RAG architectures, and other applied AI systems • Develop and maintain backend services that support AI platforms and integrate seamlessly with cloud infrastructure • Build and maintain integrations across various applications to extend AI capabilities • Deploy, optimize, monitor, and troubleshoot AI solutions on AWS, Azure, and/or GCP • Implement containerization and orchestration strategies using Docker and Kubernetes • Ensure AI systems meet performance, scalability, and reliability standards in production • Design scalable AI architectures that translate business requirements into technical solutions • Collaborate with cross-functional teams throughout the full development lifecycle • Contribute to code reviews, technical documentation, and engineering best practices

🎯 Requirements

• 5+ years of professional experience in AI engineering, machine learning, or software engineering with an AI focus, including production deployments and strong proficiency in Python and AI/ML frameworks, with a degree in Computer Science, Engineering, or equivalent practical experience • 2-3 years of hands-on experience with LLMs and RAG architectures in production environments, including vector databases • 3+ years of experience with cloud platforms, AWS, Azure, or GCP • 2+ years of experience with Docker and Kubernetes for containerization and orchestration

🏖️ Benefits

• Work Without Borders: Collaborate daily with experts from around the world and gain international exposure. • Built for Remote: Join a fully remote culture designed for autonomy, flexibility, and trust. • Diverse Perspectives: Be part of a multicultural team where different backgrounds are our greatest strength. • Grow Globally: Expand your career on a global stage, learning how business works across different cultures and continents.