We are looking for a Back-End Developer with AI experience to design, build, and maintain server-side applications and services that power AI-driven solutions. The ideal candidate has strong expertise in back-end technologies, database management, and cloud infrastructure, combined with hands-on experience integrating and deploying AI/ML models and APIs.

Key Responsibilities:

• Design, develop, and maintain scalable back-end systems, APIs, and

microservices.

• Integrate AI/ML models (NLP, computer vision, recommendation systems, etc.)

into production applications.

• Collaborate with front-end developers, AI/ML engineers, and data scientists to

deliver end-to-end AI-powered features.

• Optimize databases, APIs, and system performance to handle large-scale

data processing and real-time AI inference.

• Implement secure authentication, authorization, and data protection

practices.

• Build and manage data pipelines to support training, testing, and deployment

of AI models.

• Monitor, debug, and improve system reliability and AI feature performance.
• Stay current with emerging technologies in AI/ML, cloud services, and back-end frameworks.

Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related

field (or equivalent experience).

• Proven experience as a Back-End Developer (3+ years).
• Strong proficiency in at least one back-end language/framework (Node.js,

Python/Django, Java/Spring Boot, or Go).

• Hands-on experience integrating AI/ML APIs or deploying machine learning

models into production (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs).

• Experience with relational and non-relational databases (MySQL, PostgreSQL,

MongoDB, etc.).

• Familiarity with RESTful APIs, GraphQL, and microservices architecture.
• Knowledge of cloud services (AWS, GCP, or Azure) for deploying AI-enabled

applications.

• Strong debugging, performance tuning, and problem-solving skills.

Preferred Skills:

• Experience with MLOps tools (Kubeflow, MLflow, or Vertex AI).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Background in data engineering (ETL pipelines, real-time data streaming).
• Familiarity with serverless computing and edge AI deployment.
• Experience with security best practices in AI applications (data privacy, model

security).

Technical Requirements:

• USB Headset with Noise Cancellation feature
• Working Webcam
• Computer with at least 1.8 GHz processor and at least 4GB RAM
• Main Internet Service Speed: at least 25 Mbps cable connection
• Backup Internet Service Speed: at least 10 Mbps

Benefits:

• Health Insurance (HMO)
• Performance Incentives
• Job Security and Stability
• Paid Training
• Inclusive Culture
• Upskilling Opportunities
• 100% Work-From-Home
• Exceptionally Supportive Team
• Opportunities for Career Growth
• Fun Work Environment
• Holiday & Overtime Pay

Schedule: US work hours (20-40 hours per week)

Location: This is a remote job

Please note:

• Only qualified candidates will be invited to take the assessment & scheduled for an interview.
• We have other vacancies that might interest your friends & colleagues. They can check us out at our Jobs Website.
• You may also refer your friends using our Affiliate Marketing Program and earn up to $30 if your referral is hired.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.