About the Company

Our client is a leading global contact center and customer engagement solutions provider in the BPO industry. With over 13,000 employees across the US, Philippines, and Mexico, they serve some of the world’s most recognized brands across telecommunications, insurance, healthcare, and retail.

They are on a strong growth path, driven by a culture of integrity, innovation, and collaboration. Employees are empowered to make an impact both in the workplace and in the community.

With increasing investment in AI, automation, and next generation digital capabilities, the organization is building out a dedicated AI and machine learning capability to modernize internal platforms, enhance client delivery, and drive operational efficiency at scale. This role sits within that broader transformation effort and represents a key technical hire in their AI journey.

The culture is pragmatic, delivery focused, and hands on. Leaders and engineers are expected to own outcomes, build production ready solutions, and partner closely with business stakeholders to create measurable impact.

About the Role

We are hiring a Senior AI Engineer to design, build, and deploy production grade AI systems leveraging large language models and modern cloud AI platforms.

This is a hands on technical role focused on building AI agents, retrieval augmented generation systems, and agentic AI workflows in live production environments. You will work across data science, machine learning engineering, and MLOps to deliver scalable, secure, and reliable AI solutions that directly support business and client operations.

This is not a research only or prototype focused role. The expectation is proven experience delivering AI systems into production with strong engineering rigor, monitoring, and lifecycle management.

What You Will Be Doing

AI System Design and Deployment

• Design and deploy AI agents and retrieval augmented generation systems in production environments

• Build and optimize agentic RAG or RAG with tools architectures to support real world enterprise use cases

• Integrate large language models such as GPT 4, GPT 5, and Gemini into scalable cloud based systems

• Work across Azure AI and Google AI services to design secure and high performance AI workflows

Engineering and Development

• Write production quality Python code following best practices for testing, version control, and maintainability

Leverage modern development environments and tools including Git, Anaconda, PiP, Docker, and cloud services

Collaborate with cross functional teams to translate business requirements into robust AI driven solutions

Data Science and Machine Learning

Build and validate machine learning models with rigorous testing and evaluation frameworks

Deploy models into production with proper validation, monitoring, and rollback capabilities

Continuously refine and optimize models based on performance data and evolving business needs

MLOps and Governance

Design and manage ML pipelines including versioning, monitoring, drift detection, and rollback strategies

Ensure production systems are observable, measurable, and aligned to enterprise security and compliance standards

Partner with infrastructure and platform teams to ensure reliability and scalability of AI solutions

What We Are Looking For

Proven experience working with large language models such as GPT 4, GPT 5, and Gemini

Hands on experience with Azure AI and Google AI platforms

Strong Python engineering skills with experience in modern development environments including Git, Anaconda, PiP, Docker, and cloud services

Demonstrated experience building and deploying AI agents and retrieval augmented generation systems in production environments

Solid background in data science and machine learning including model development, validation, and deployment

Hands on MLOps experience including pipeline design, versioning, monitoring, drift detection, and rollback strategies

Proven track record of delivering production systems rather than prototypes only

Ability to operate in a fast paced environment with evolving requirements and multiple stakeholders

Why This Role

Opportunity to build production grade AI systems within a large scale global organization

Direct impact on enterprise transformation initiatives across multiple industries

Hands on ownership of cutting edge AI capabilities including agentic AI and RAG architectures

Competitive benefits package and exposure to international operations across the US, Philippines, and Mexico