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AI Engineer (LLM & Agentic AI) Job Opening In Singapore, Singapore – Now Hiring Red Dot Analytics


Job description

Head of Engineering, Principal Engineer, and Chief Architect | PhD in Distributed Systems | Expert in Python & Functional Programming | Driving...


Ready to build the future of sustainable data centers?

We're looking for a brilliant AI Engineer to join our pioneering team.

In this role, you will be at the heart of our mission to revolutionize data center operations through artificial intelligence.

You will design and build intelligent agents that think, learn, and act.

These agents will leverage Large Language Models (LLMs), digital twins, and real-time data to automate complex decisions, optimize energy consumption, and create self-operating infrastructure.

If you are passionate about applying cutting‐edge AI to solve tangible, high‐impact problems, this is the opportunity for you.


What You’ll Do
Architect & Build
: Design, develop, and deploy autonomous agentic systems and LLM‐powered co‐pilots for critical data center applications.


Innovate
: Spearhead research and building of novel agent architectures, including tool‐use, planning, and multi‐agent collaboration for simulation‐based optimization.


Integrate
: Seamlessly connect your AI agents with our sophisticated digital twins, real‐time telemetry pipelines, and domain‐specific simulation models.


Collaborate
: Work in a tight‐knit, cross‐functional team of data scientists, system engineers, and data center domain experts to build groundbreaking solutions.


Test & Refine
: Rigorously evaluate and benchmark agent performance in both simulated and real‐world environments to ensure robustness and efficiency.


Lead & Learn
: Stay at the forefront of AI research in LLMs, reinforcement learning, and agentic systems, sharing your findings through publications and internal knowledge‐sharing.


What You’ll Bring
A degree in Computer Science, AI, Machine Learning, or a related technical field.


Proven backend development experience, with a strong ability to build robust and scalable systems.


Hands‐on experience building with LLMs, agentic frameworks, and/or generative AI.


Expert‐level programming skills in Python and deep familiarity with core ML/LLM libraries (e.g., PyTorch, LangChain, OpenAI APIs).


Practical knowledge of RAG, prompt engineering, and designing agents that use external tools.


Bonus Points (Nice‐to‐Haves):
Familiarity with distributed systems, data engineering, or digital twin platforms.


Experience with telemetry data, time‐series analysis, or IoT device integration.


A background in industrial automation, robotics, or control systems would be a strong plus.


Contributions to open‐source AI projects or a portfolio of relevant personal projects.


Why You’ll Love Working With Us
Real‐World Impact
: Your work will directly translate into more efficient, sustainable, and intelligent data centers.

You won't just be writing code; you'll be solving massive operational challenges.


Cutting‐Edge Problems
: Tackle some of the most exciting and complex problems at the intersection of AI and physical systems.


Growth & Development
: We invest in your professional journey by providing opportunities to master new technologies, tackle first‐of‐their‐kind challenges, and take on increasing responsibility in a supportive, learn‐it‐all environment.


Expert Team
: Join a collaborative and supportive team of passionate experts who are dedicated to pushing the boundaries of what's possible.


Seniority Level
Mid‐Senior level
Employment Type
Full‐time
Job Function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr

Required Skill Profession

Other General


  • Job Details

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Unlock Your AI Engineer Potential: Insight & Career Growth Guide


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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 Red Dot Analytics adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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Interview Tips for AI Engineer (LLM & Agentic AI) Job Success

Red Dot Analytics interview tips for AI Engineer (LLM & Agentic AI)

Here are some tips to help you prepare for and ace your AI Engineer (LLM & Agentic AI) job interview:

Before the Interview:

Research: Learn about the Red Dot Analytics's mission, values, products, and the specific job requirements and get further information about

Other Openings

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

During the Interview:

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Final Thought:

To prepare for your AI Engineer (LLM & Agentic AI) interview at Red Dot Analytics, research the company, understand the job requirements, and practice common interview questions.

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

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