Company: TeamFicient
Location: Remote
Employment Type: Full-Time
Salary: Up to $1,500
Work Schedule: Between 7:00 AM and 7:00 PM CST
Working Hours: 9 hours per day (8 working hours + 1-hour break)
Days Off: TBD — 2 days per week
Why Join TeamFicient?
At TeamFicient, our team spans multiple countries and regions, staying connected across EST, CST, and PST time zones.
- Work Without Borders: Collaborate with experts from around the world and gain valuable international exposure.
- Built for Remote: Enjoy a fully remote culture built around autonomy, flexibility, and trust.
- Diverse Perspectives: Work with a multicultural team where different backgrounds make us stronger.
- Grow Globally: Develop your career on a global stage while learning how businesses operate across 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, scalable, and ready for real-world production environments.
If you have a proven track record of shipping LLM- and RAG-based systems in production, we'd love to hear from you.
Core ResponsibilitiesAI 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 & 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 production standards for performance, scalability, reliability, and availability.
Architecture & Collaboration
- Design scalable AI architectures that translate business requirements into effective technical solutions.
- Collaborate with cross-functional teams throughout the full software development lifecycle.
- Contribute to code reviews, technical documentation, and engineering best practices.
Candidate QualificationsMust-Haves
- 5+ years of professional experience in AI engineering, machine learning, or software engineering with an AI focus, including production deployments.
- Strong proficiency in Python and AI/ML frameworks.
- 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 such as AWS, Azure, or GCP.
- 2+ years of experience with Docker and Kubernetes for containerization and orchestration.
Good to Have
- Familiarity with MLOps practices and tools for model deployment and monitoring.
- Knowledge of additional programming languages such as Go, Java, or JavaScript/TypeScript.
- Experience with CI/CD pipelines and Infrastructure as Code tools such as Terraform or CloudFormation.
- Contributions to open-source AI/ML projects or active participation in the AI community.
- Master's degree or PhD in Computer Science, Machine Learning, AI, or a related field.
Job Types: Full-time, Contract
Contract length: 12 months
Pay: $1,000.00 - $1,500.00 per month
Work Location: Remote
