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AI Platform Engineer Job Opening In Dublin – Now Hiring T-Pro


Job description

We are seeking an AI Platform Engineer to build and scale the infrastructure that powers our production AI services.

You will take cutting-edge models-ranging from
speech recognition (ASR) to large language models (LLMs), and deploy them into highly available, developer-friendly APIs.


You will be responsible for creating the bridge between the R&D team, who train models, and the applications that consume them.

This means developing robust APIs, deploying and optimising models on
Triton Inference Server (or similar frameworks), and ensuring real-time, scalable inference.


Responsibilities


API Development

  • Design, build, and maintain production-ready APIs for speech, language, and other AI models.
  • Provide SDKs and documentation to enable easy developer adoption.


Model Deployment

  • Deploy models (ASR, LLM, and others) using Triton Inference Server or similar systems.
  • Optimise inference pipelines for low-latency, high-throughput workloads.


Scalability & Reliability

  • Architect infrastructure for handling large-scale, concurrent inference requests.
  • Implement monitoring, logging, and auto-scaling for deployed services.


Collaboration

  • Work with research teams to productionize new models.
  • Partner with application teams to deliver AI functionality seamlessly through APIs.


DevOps & Infrastructure

  • Automate CI/CD pipelines for models and APIs.
  • Manage GPU-based infrastructure in cloud or hybrid environments.


Requirements


Core Skills

  • Strong programming experience in Python (FastAPI, Flask) and/or Go/Node.js for API services.
  • Hands-on experience with model deployment using Triton Inference Server, TorchServe, or similar.
  • Familiarity with both ASR frameworks and LLM frameworks (Hugging Face Transformers, TensorRT-LLM, vLLM, etc.).


Infrastructure

  • Experience with Docker, Kubernetes, and managing GPU-accelerated workloads.
  • Deep knowledge of real-time inference systems (REST, gRPC, WebSockets, streaming).
  • Cloud experience (AWS, GCP, Azure).


Bonus

  • Experience with model optimisation (quantisation, distillation, TensorRT, ONNX).
  • Exposure to MLOps tools for deployment and monitoring



Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI Platform Potential: Insight & Career Growth Guide


Real-time AI Platform Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AI Platform in Dublin, Ireland, highlighting market share and opportunities for professionals in AI Platform roles.

595 Jobs in Ireland
595
417 Jobs in Dublin
417
Download Ai Platform Jobs Trends in Dublin and Ireland

Are You Looking for AI Platform Engineer Job?

Great news! is currently hiring and seeking a AI Platform Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at T-Pro adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Ireland laws and regulations

What Is the Average Salary Range for AI Platform Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Dublin. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI Platform Engineer?

Key qualifications for AI Platform Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AI Platform Engineer Job Success

T-Pro interview tips for AI Platform Engineer

Here are some tips to help you prepare for and ace your AI Platform Engineer job interview:

Before the Interview:

Research: Learn about the T-Pro's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI Platform Engineer interview at T-Pro, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the T-Pro's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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