AI Engineer

Reposted 2 Months Ago
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Hiring Remotely in Philippines
Remote
3-5 Annually
Mid level
Information Technology • Internet of Things • Mobile • Web3
The Role
The ML/AI Engineer will design, develop, and implement machine learning models and AI solutions, collaborating with software engineers and cross-functional teams.
Summary Generated by Built In

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!

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field
  • At least 3-5 years of experience in machine learning, AI, or data science roles
  • Proven track record of developing and deploying machine learning models in a production environment
  • Proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
  • Strong understanding of statistical analysis, data mining, and data visualization techniques
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services
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The Company
HQ: San Jose, CA
43 Employees
Year Founded: 1994

What We Do

Starting with pioneering R&D in supercomputing, JWay expanded into a Development Center in the Philippines, offering quality digital solutions worldwide. Through the years, JWay partnered with enterprises like Cisco on innovative projects. By 2022, it further diversified into web and mobile development, enterprise solutions, and staffing, providing comprehensive client services

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