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Open nowPosted today

Senior Agent Researcher / Engineer

MyCareersFuture97,045 open roles

Pay
SGD 5,500 – SGD 20,000 a month
Where
Central, Singapore
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Your applicationOpen nowSenior Agent Researcher / EngineerMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. MyCareersFuture postings stay open a median of 3 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: posted today

MyCareersFuture median: 3 days open

The posting

Our client is a Singapore-based automotive tech company, building AI-powered computing platforms for software-defined vehicles. They specialize in intelligent cockpit systems and autonomous driving computation, combining custom automotive SoCs with advanced software to help automakers deliver safer, smarter, more personalized in-car experiences.

Senior Agent Researcher / Engineer

Role Overview:

As a Senior Agent Researcher, you will design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus not just on making Agents work, but on understanding, measuring, and continuously improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

Key Responsibilities:

· Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration

· Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints

· Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks

· Optimize Agent performance acrossarchitecture, model selection, context management, memory, and tool usage,balancing performance and cost

· Rapidly prototype Agent systems and demos,integrating research insights with engineering and product validation

· Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering

Qualifications & Requirements:

· Proven experience designing, building, or deploying Agent systems, LLM-based applications, or complex AI systems in production environments

· Strong understanding of AI/ML fundamentals and system design, including models, inference, training, context, and evaluation

· Hands-on experience with Agent evaluation frameworks, automated experimentation, or A/B testing

· Ability to translate cutting-edge research(LLMs, MLLMs, multi-agent systems) into practical, production-ready solutions

· Strong systems thinking with a research-oriented mindset and solid engineering execution

· Publications, open-source contributions, or experience in automotive, chip, or intelligent cockpit systems are advantageous

EA Personnel Registration No: R1106329

EA License No: 12C6254

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