AI Engineering Manager

Lewis Personnel Management; Manila; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

Lewis Personnel Management is seeking an experienced Lead AI & Data Science Engineer to design scalable, AI-powered applications and data-driven solutions. You will lead development, deployment, and technical direction across projects.

You'll leverage Python-based backends with React/Angular, work with LLMs, RAG, embeddings and vector databases, and employ cloud and DevOps practices to deliver robust AI systems while mentoring teammates.

Qualifications

• 7–11 years of relevant experience in software engineering, AI/ML engineering, data science, or related fields.
• Bachelor's degree in Computer Science, IT, Engineering, Data Science, AI/ML, or related field.
• 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.

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.

Education

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

Tools

Docker

Kubernetes

Git

CI/CD

LangChain

LlamaIndex

AutoGen

LLMs

RAG

Embeddings

Vector databases

Python

REST APIs

Microservices

SQL/NoSQL

Software architecture

Testing

Azure

AWS

GCP

Job description

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.

Requirements

Please refer to job description.

Project Management Team Leadership IT Strategy Agile Methodologies Risk Management Technical Troubleshooting Vendor Management Budgeting Communication Skills