Construction Cost Estimator Specialist
OutSta
Back-End Developer, AI
Wing Assistant
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇭 Philippines
Visit company websiteSalary
💰 ₱42,500 - ₱47,000 per month
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudDjangoDockerETLGoGoogle Cloud PlatformGraphQLJavaJavaScriptKubernetesMicroservicesMongoDBMySQLNode.jsPostgresPythonPyTorchSpringSpring BootSpringBootTensorflow
About the role
- 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.
Requirements
- 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: Experience with MLOps tools (Kubeflow, MLflow, or Vertex AI).
- Preferred: Knowledge of containerization and orchestration (Docker, Kubernetes).
- Preferred: Background in data engineering (ETL pipelines, real-time data streaming).
- Preferred: Familiarity with serverless computing and edge AI deployment.
- Preferred: Experience with security best practices in AI applications (data privacy, model security).
- Technical requirements: USB Headset with Noise Cancellation, Working Webcam, Computer with at least 1.8 GHz processor and at least 4GB RAM, Main Internet 25 Mbps, Backup Internet 10 Mbps.
- Schedule: US work hours (20-40 hours per week).
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
back-end developmentNode.jsPythonDjangoJavaSpring BootGoAI integrationmachine learningdatabase optimization
Soft skills
collaborationproblem-solvingdebuggingperformance tuningcommunication
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Software Engineering
