AI Engineer

Teamficient

AI Engineer designing and building production-grade AI applications for TeamFicient. Collaborating on cloud infrastructure and creating scalable AI architectures with a multicultural team.

Posted 5/7/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $1,500 per monthWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI engineeringmachine learningsoftware engineeringPythonLLMsRAG architecturescloud platformsDockerKubernetesvector databases

Soft Skills

collaborationcode reviewstechnical documentationengineering best practices

Certifications

degree in Computer Sciencedegree in Engineering