Back-End Developer with AI Experience

4 weeks ago

Mandaue, Philippines Medium Full time

Back-End Developer with AI Experience (For Pooling) Wing is on the exciting mission of redefining the future of work for companies worldwide. We are looking to be the one-stop shop for companies that are looking to build world-class teams & place their operations on autopilot. 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. 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 #J-18808-Ljbffr

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