AI Engineer

TeamFicient is looking for a skilled AI Developer/Engineer to join their fully remote team. This role focuses on designing, building, and scaling production-ready AI applications that deliver real value to clients. The ideal candidate will operate at the crossroads of applied AI, backend engineering, and cloud infrastructure, creating dependable systems prepared for real-world deployment. This position offers the chance to collaborate with a diverse, multicultural team across multiple time zones while working independently in a flexible environment and gaining international exposure.

Key Responsibilities
- Design and develop AI-powered applications using large language models (LLMs), retrieval-augmented generation (RAG) architectures, and other applied AI technologies.
- Develop and maintain backend services that support AI platforms and integrate seamlessly with cloud infrastructure.
- Build and maintain integrations across various applications to enhance AI capabilities.
- Deploy, optimize, monitor, and troubleshoot AI solutions on cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP).
- Implement containerization and orchestration strategies using Docker and Kubernetes to ensure scalability and reliability.
- Design scalable AI architectures that translate business requirements into technical solutions.
- Collaborate with cross-functional teams throughout the full software development lifecycle.
- Participate in code reviews, contribute to technical documentation, and uphold engineering best practices.

Required Qualifications
- Minimum of 5 years of professional experience in AI engineering, machine learning, or software engineering with a focus on AI, including production deployments.
- Strong proficiency in Python and AI/ML frameworks.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 2 to 3 years of hands-on experience with LLMs and RAG architectures in production environments, including working with vector databases.
- At least 3 years of experience with cloud platforms such as AWS, Azure, or GCP.
- Minimum of 2 years experience using Docker and Kubernetes for containerization and orchestration.

Preferred Qualifications and Benefits
- 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 continuous integration/continuous deployment (CI/CD) pipelines and infrastructure as code tools like Terraform or CloudFormation.
- Contributions to open-source AI/ML projects or active participation in the AI community.
- Advanced degrees such as a Master’s or PhD in Computer Science, Machine Learning, AI, or related fields are advantageous.

This is a full-time, remote position requiring 9 hours of work per day (8 working hours plus a 1-hour break) within the time frame of 7 AM to 7 PM CST. The workweek includes two days off, which will be determined. The salary offered is up to $1,500 per month (approximately Rs300,698.24 - Rs400,247.12). Please note that this posting is for talent pooling through the Ready-to-Hire Portal and does not represent an immediate vacancy. Candidates may be considered for future relevant opportunities.

Join TeamFicient to work without borders, collaborate with a global team, and advance your career on an international stage while contributing to innovative AI solutions.