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AI Engineer

πŸ•’ yesterday
Machine LearningDeep LearningNatural Language ProcessingGenerative AI
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πŸ“œ Description

  • Design, develop, and deploy machine learning models and AI-powered applications for production.
  • Evaluate and improve model performance, scalability, and reliability.
  • Use AI-assisted coding tools and workflows for development, debugging, testing, documentation, and code review.
  • Build AI agents and automation workflows, integrating models with APIs, cloud services, and existing products.
  • Apply secure coding, privacy, responsible AI, and governance practices throughout development and deployment.

πŸ› οΈ Requirements

  • 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
  • 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.

✨ Benefits

  • Develop and optimize NLP, computer vision, predictive analytics, and generative AI solutions.
Full job description

Work Arrangement: Remote (Philippines)
Work Schedule: 40 hours/week, must be ready to support US time zones

Job Summary

JWay Group is seeking an experienced, AI-native Engineer with strong foundations in software development, data engineering, and system architecture. This role focuses on building and deploying production-ready AI solutions across financial services, healthcare, and enterprise environments.

The ideal candidate combines hands-on experience with Large Language Models (LLMs), sound engineering judgment, and the ability to independently lead AI projects from concept to deployment. You will work directly with clients, solve complex business challenges, and develop reliable AI applications that deliver measurable results.

Key Responsibilities

  • Lead end-to-end AI product development, from requirements gathering and prototyping to production deployment and continuous improvement.
  • Design, develop, and integrate LLM-based applications, intelligent workflows, document processing systems, and automation solutions.
  • Build and maintain data pipelines, including data ingestion, modeling, ETL processes, and system integrations.
  • Evaluate AI model performance, conduct error analysis, and implement testing and evaluation frameworks to improve reliability.
  • Collaborate directly with clients and stakeholders to translate business requirements into technical solutions and development priorities.
  • Monitor application performance, user analytics, and operational metrics to guide product improvements.
  • Implement security best practices, including authentication, access controls, secrets management, and sensitive data protection.
  • Manage cloud infrastructure, CI/CD pipelines, application reliability, and deployment costs.
  • Prepare technical documentation, communicate project progress, and share engineering knowledge with internal teams and clients.

Qualifications

  • Strong programming, debugging, software architecture, and system design skills.
  • Proven experience developing and deploying LLM-based applications used in real-world production environments.
  • Hands-on experience with AI development tools such as Claude Code, Codex, or similar AI-assisted engineering platforms.
  • Solid understanding of data engineering, data modeling, ETL, and workflow orchestration tools such as Airflow, Dagster, Prefect, or Inngest.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud, including deployment, monitoring, and cost optimization.
  • Knowledge of web application development, API integrations, authentication, web security, and database performance optimization.
  • Familiarity with CI/CD practices, automated testing, AI evaluation frameworks, and production observability.
  • Ability to independently manage technical projects, troubleshoot complex issues, and make sound engineering decisions.
  • Strong communication, technical writing, and stakeholder management skills.
  • Demonstrated ability to translate ambiguous business requirements into actionable technical plans.

Nice to Have

  • Proficiency in TypeScript and experience developing full-stack applications.
  • Experience building AI solutions for financial services, healthcare, or contact center operations.
  • Background in computer vision, enterprise document processing, or financial research applications.
  • Experience implementing AI observability, model evaluation, and performance monitoring.
  • Previous experience as a founding engineer, solo developer, or technical lead on a product.
  • Active participation in AI engineering communities or open-source initiatives.

What We're Looking For

We value engineers who can move beyond prototypes and deliver reliable, secure, production-ready AI applications. You should be comfortable taking ownership, working directly with stakeholders, and making informed technical decisions with minimal supervision.

We're particularly interested in candidates who combine deep expertise in at least one engineering discipline with practical knowledge of AI, data, infrastructure, and product development.

Why Join JWay Group?

  • Work on AI engineering projects across multiple industries and business environments.
  • Take ownership of product development from initial concept through production.
  • Collaborate with international clients and multidisciplinary engineering teams.
  • Gain exposure to modern AI development tools, architectures, and enterprise applications.
  • Work remotely from anywhere in the Philippines.

How to Apply

Ready to build AI solutions that go beyond demonstrations? Apply now!

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