AI Engineer (Senior to Manager level)

A7 Recruitment Corporation; Taguig; Hybrid; PHP 1,200,000 - 2,000,000; Full time

Job summary

A7 Recruitment Corporation is seeking a senior data/prod analytics engineer to transform raw data into actionable insights and guide data science projects. You will build data pipelines, deploy ML models, and collaborate with clients to deliver AI-driven analytics solutions in a cloud-enabled environment.

The role requires strong full-stack or backend capabilities (Python, React/Angular), data visualization, and experience with LLMs, embeddings, and vector databases. Excellent English is a must.

Qualifications

• Requires at least a Bachelor's degree.
• Senior level: 4–7 years of experience; Manager level: 7–10 years.
• Proficient in English (oral and written).
• Strong full-stack/backend skills: Python, Angular or React, RESTful APIs, microservices, SQL/NoSQL, testing, software architecture.

Responsibilities

• Developing and implementing advanced data solutions to transform raw data into actionable insights.
• Leveraging statistical modeling and data visualization to solve business problems.
• Using ML frameworks and tools to enhance data-driven decisions.
• Conducting exploratory and descriptive analysis to inform strategy.
• Building and maintaining data pipelines and data lakes for large-scale processing.
• Collaborating with clients to deliver tailored analytics solutions.
• Programming in C++ and R to optimize data science workflows.
• Ensuring data quality and integrity through robust data engineering practices.
• Mentoring junior team members in data science methodologies.
• Staying updated with AI and data science advancements.

Skills

Python

Angular

React

RESTful APIs

Microservices

SQL/NoSQL databases

Testing

Software architecture

C++

R

TensorFlow

Scikit-Learn

LangChain

LlamaIndex

Autogen

Embeddings

Vector databases

Docker

Kubernetes

Azure

AWS

GCP

CI/CD

Education

Bachelor's degree

Tools

TensorFlow

Scikit-Learn

LangChain

LlamaIndex

Autogen

Docker

Kubernetes

Azure

AWS

GCP

Job description

Responsibilities

• Developing and implementing advanced data solutions to transform raw data into actionable insights


• Leveraging statistical modeling and data visualization techniques to solve complex business problems


• Utilizing machine learning algorithms and tools such as TensorFlow and Scikit-Learn to enhance data-driven decision-making


• Conducting exploratory and descriptive analysis to inform strategic decisions and drive business growth


• Building and maintaining data pipelines and data lakes to support large-scale data processing


• Collaborating with clients to understand their data needs and deliver tailored analytics solutions


• Applying programming skills in languages such as C++ and R to develop and optimize data science workflows


• Confirming data quality and integrity through rigorous data engineering practices


• Mentoring junior team members in data science methodologies and techniques


• Engaging in continuous learning to stay updated with the latest advancements in artificial intelligence and data science

What You Must Have

• At least a Bachelor's degree


• At least 4 to 7 years of experience - for Senior level


• At least 7 to 10 years of experience - for Manager level


• Oral and written proficiency in English required


• Strong full-stack or backend development skills, including Python, Angular or React, RESTful APIs, microservices, SQL/NoSQL databases, testing, and software architecture.


• Hands-on experience building AI-integrated applications, using LLMs, RAG, embeddings, vector databases, and frameworks such as LangChain, LlamaIndex, or Autogen.


• Proven cloud and DevOps capability, including Azure, AWS, or GCP deployment, Docker, Kubernetes, CI/CD, Git, security, reliability, and scalability.