AI Engineer
Remote AI Engineer role focused on building and deploying machine learning models using Python, TensorFlow, and PyTorch. Collaborate with a global team to develop scalable AI solutions and improve model performance.
This is a remote position.
AI Developer/Engineer
Company: TeamFicient Location: Remote
Employment Type: Full-Time Salary Range: Up to $1,500 Work Schedule:
Time Range: Between 7 AM and 7 PM CST
Working Hours: 9 hours per day (8 working hours + 1-hour break)
Days Off: TBD (2 days per week)
Why Join Us?
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.
About the Role
TeamFicient is looking for an experienced AI Developer/Engineer to design, build, and scale production-grade AI applications that deliver real value to our clients. You'll work at the intersection of applied AI, backend engineering, and cloud infrastructure, building systems that are robust, reliable, and ready for the real world. If you have a proven track record of shipping LLM and RAG-based systems in production, this role is for you.
Core Responsibilities
AI Application Development
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
Cloud and Infrastructure
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
Architecture and Collaboration
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
Candidate Qualifications
Must-Haves
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
Posted June 25, 2026