Senior AI Engineer

Permanent / Full Time

This Senior AI role is a hands-on technical position focused on designing, developing, and deploying AI and machine learning solutions.

This role spans the full model lifecycle from prototyping through to scalable, production-ready systems and increasingly includes the application of generative AI and large language models (LLMs) to solve business challenges.

The Senior AI Engineer works closely with data scientists, software engineers, and product teams to turn AI ideas into tangible outcomes, ensuring high performance, maintainability, and responsible use of AI.

Key Responsibilities

Lead the end-to-end design, development, and deployment of complex AI/ML systems and platforms
Act as a technical authority on AI engineering practices, frameworks, and infrastructure
Architect scalable, maintainable solutions that integrate AI into enterprise applications and workflows
Collaborate with data, engineering, and product teams to translate models into production-grade AI systems
Define engineering standards, code quality practices, and MLOps approaches to ensure reliability and reproducibility
Identify and mitigate technical risks related to AI model performance, bias, and data integrity
Drive automation across data, model, deployment, and business processes to streamline operations and reduce manual effort
Work closely with cross-functional teams to align technical solutions with business needs and user experiences
Stay current on emerging AI technologies, tools, and architectural patterns

Qualifications

5 - 8 years of experience in software engineering, with at least 2 - 4 years focused on AI/ML solution development and delivery
Strong software engineering foundation, including experience with design patterns and testing strategies
Hands-on experience deploying AI/ML models in production environments, including model serving, monitoring, and lifecycle management
Proven experience with generative AI, LLMs, or fine-tuning foundation models on cloud platforms (preferably AWS)
Solid understanding of MLOps practices, tools, and CI/CD pipelines
Demonstrated ability to mentor and coach engineers
Strong grasp of AI-related risks and governance, including model bias, fairness, and explainability
Contribution to open-source AI/ML projects or participation in the broader AI engineering community (preferred)

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Vincent Wijangco - Senior Business Analyst @ Nine

Senior AI Engineer

"If you’re looking for a recruiter in the data space, I highly recommend MAP TALENT. As a candidate I found MAP are approachable and provided great guidance throughout the process. I really appreciated his support in making the whole experience smooth and stress-free"

"MAP was a revelation to work with. After meeting several recruitment companies. MAP was the last in the door but the first to deliver. They are always responsive and followed through on their promises. I would recommend MAP without hesitation."

"If you’re looking for a recruiter in the data space, I highly recommend MAP TALENT.

As a candidate I found MAP are approachable and provided great guidance throughout the process.

I really appreciated his support in making the whole experience smooth and stress-free"

"MAP was a revelation to work with. After meeting several recruitment companies.

MAP was the last in the door but the first to deliver. They are always responsive and followed through on their promises.

I would recommend MAP without hesitation."