AI Engineer

Work Arrangement: Remote (Philippines)
Work Schedule: Flexible (Supports Global Time Zones)

We are looking for an experienced AI Engineer to help build the next generation of intelligent applications, AI-powered workflows, and production-ready machine learning solutions.

At JWay, AI Engineers are expected to combine strong machine learning expertise with modern AI engineering practices. You'll leverage tools such as Claude Code, Codex, Anti-gravity, and Zed to accelerate software development, automate engineering workflows, and build scalable AI-powered applications. You'll collaborate with cross-functional teams to design, deploy, and continuously improve AI solutions that create measurable business impact.

• Design, develop, and deploy machine learning models for production environments.
• Build AI-powered applications using modern software engineering best practices.
• Develop and optimize NLP, computer vision, predictive analytics, or Generative AI solutions.
• Continuously evaluate and improve model performance, scalability, and reliability.

• Utilize Claude Code, Codex, Anti-gravity, Zed, and other AI engineering tools to improve software development productivity.
• Leverage AI-assisted coding, debugging, testing, documentation, and code review workflows.
• Evaluate emerging AI development tools and recommend best practices for engineering teams.
• Build reusable AI development workflows that improve engineering efficiency.

• Build AI agents and intelligent automation workflows to streamline engineering and business processes.
• Integrate AI models into production systems using APIs and cloud platforms.
• Design scalable workflows that combine AI services, automation platforms, and enterprise applications.
• Collaborate with software engineers to embed AI capabilities into existing products.

• Develop AI solutions that follow secure coding, privacy, and responsible AI principles.
• Protect sensitive data throughout the AI development lifecycle.
• Identify security risks associated with AI implementations and recommend mitigation strategies.
• Follow best practices for secure deployment and governance of AI systems.

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
• 3–5 years of experience in AI, Machine Learning, or Data Science
• Proven experience developing and deploying machine learning models into production
• Experience building end-to-end AI applications from concept through deployment
• Strong experience collaborating with cross-functional engineering teams

• Strong knowledge of Machine Learning, Deep Learning, NLP, Generative AI, and statistical modeling.
• Proficiency in Python or R.
• Experience with TensorFlow, PyTorch, scikit-learn, or similar machine learning frameworks.

• Experience using Claude Code, Codex, Anti-gravity, Zed, or comparable AI-assisted software development tools.
• Familiarity with AI-powered code generation, debugging, refactoring, and documentation workflows.
• Experience integrating AI coding assistants into modern software development practices.

• Experience building AI agents and workflow automation solutions.
• Knowledge of API integrations, cloud AI services, and orchestration frameworks.
• Experience deploying AI applications on AWS, Azure, or Google Cloud.

• Understanding of secure software development, data privacy, and AI governance.
• Knowledge of authentication, authorization, and secure API development.
• Familiarity with responsible AI and enterprise security best practices.

At JWay, we're building more than AI solutions, we're building AI engineers. You'll work on meaningful AI projects, collaborate with global teams, and gain exposure to technologies shaping the future of intelligent software.

If you're passionate about building AI solutions that solve real business problems and want to grow alongside a team committed to continuous innovation, we encourage you to apply. Please note that only qualified candidates will be contacted.

JWay Group is proud to be an Equal Opportunity Employer. We value diversity and are committed to fostering an inclusive and supportive workplace for all.