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Back-End Developer with AI Experience

1 hour, 19 minutes ago
Philippines
Full-time
Mid Level
AI Engineer
Software Development
AWS Azure Django Docker GCP Go GraphQL Hugging Face Java Kubeflow Kubernetes Microservices MLflow MongoDB MySQL Node.js PostgreSQL Python PyTorch REST API Spring Boot TensorFlow Vertex AI
Apply Now
Wing Assistant

Wing Assistant

Wing Assistant: Your dedicated assistant for businesses and executives, offering affordable support for essential tasks to drive business growth.

Professional Services
51-250
Founded 2017
$2M raised
View All Jobs 337

Description

  • Design, develop, and maintain scalable back-end systems, APIs, and microservices.
  • Integrate AI/ML models and APIs into production applications.
  • Collaborate with front-end developers, AI/ML engineers, and data scientists to deliver AI-powered features.
  • Optimize databases, APIs, and system performance for large-scale data processing and real-time inference.
  • Implement secure authentication, authorization, and data protection practices.
  • Build and manage data pipelines for 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.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
  • 3+ years of experience as a Back-End Developer.
  • Strong proficiency in at least one back-end language or framework such as Node.js, Python/Django, Java/Spring Boot, or Go.
  • Hands-on experience integrating AI/ML APIs or deploying machine learning models into production, such as TensorFlow, PyTorch, Hugging Face, or OpenAI APIs.
  • Experience with relational and non-relational databases such as MySQL, PostgreSQL, or MongoDB.
  • Familiarity with RESTful APIs, GraphQL, and microservices architecture.
  • Knowledge of cloud services such as AWS, GCP, or Azure for deploying AI-enabled applications.
  • Strong debugging, performance tuning, and problem-solving skills.
  • Preferred experience with MLOps tools such as Kubeflow, MLflow, or Vertex AI.
  • Preferred experience with containerization and orchestration tools such as Docker and Kubernetes.
  • Preferred background in data engineering, including ETL pipelines and real-time data streaming.
  • Preferred familiarity with serverless computing and edge AI deployment.
  • Preferred experience with security best practices in AI applications, including data privacy and model security.
  • USB headset with noise cancellation, working webcam, and a computer with at least a 1.8 GHz processor and 4GB RAM.
  • Reliable internet connection with at least 25 Mbps cable for primary service and at least 10 Mbps backup service.

Benefits

  • ₱42,500 to ₱47,000 monthly salary.
  • Health insurance (HMO).
  • Performance incentives.
  • Paid training.
  • 100% work-from-home setup.
  • Holiday and overtime pay.
  • Upskilling opportunities and career growth.
  • Inclusive and supportive team culture.

Interested in this position?

Apply directly on the company website

Apply Now

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