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Lewis Personnel Management

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AI Engineering Manager

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Description

Salary: ₱140,000 – ₱180,000 per month

We are seeking an experienced Lead AI & Data Science Engineer to develop scalable, AI-powered applications and data-driven solutions. This role combines software engineering, AI/ML development, cloud technologies, and technical leadership to solve complex business challenges.

Key Responsibilities

  • Lead the development and deployment of AI-powered applications and data-driven solutions.

  • Build and maintain LLM applications using RAG, embeddings, vector databases, and AI frameworks.

  • Develop scalable backend services, REST APIs, microservices, and data pipelines.

  • Apply machine learning, deep learning, statistical modeling, and predictive analytics.

  • Manage data quality, security, and application reliability.

  • Oversee project timelines, technical deliverables, and implementation.

  • Mentor team members and collaborate with business stakeholders to drive AI adoption and innovation.

Qualifications

  • Bachelor's degree in Computer Science, IT, Engineering, Data Science, AI/ML, or a related field.

  • 7–11 years of relevant experience in software engineering, AI/ML engineering, data science, or related fields.

  • Strong backend or full-stack development skills, particularly in Python, with Angular or React experience.

  • Hands-on experience with LLMs, RAG, embeddings, vector databases, and frameworks such as LangChain, LlamaIndex, or AutoGen.

  • Experience with REST APIs, microservices, SQL/NoSQL databases, software architecture, and testing.

  • Cloud and DevOps experience with Azure, AWS, or GCP, including Docker, Kubernetes, Git, and CI/CD.

  • Strong analytical, problem-solving, communication, and leadership skills.

Preferred Qualifications

  • Experience in machine learning, deep learning, predictive modeling, and data pipeline management.

  • Familiarity with Python, R, MATLAB, or other analytical programming languages.

  • Experience leading technical projects, mentoring teams, and implementing innovative technologies.


Skills

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See also

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