Research Scientist (Generative & Agentic AI)

Appier is hiring a Research Scientist (Generative & Agentic AI) in Taipei, Taiwan. Level rates it ; you can apply on Appier.

Level's read on this job

Level rates this research scientist role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, RAG and AI agents.
Level lists 66 other open roles at Appier.

AI in this role

pytorch

ragai-agentsfine-tuning

About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier's mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the Role

As a Research Scientist, you will work at the frontier of generative and agentic AI: advancing Large Language Models (LLMs), Vision-Language Models (VLMs), and AI agents that reason, plan, and use tools to solve real-world problems. Your research will span post-training (SFT, RLHF/RLVR), reasoning and test-time scaling, multimodal intelligence, and autonomous agentic systems. You will shape Appier's core AI capabilities, publish at top AI/ML conferences, and collaborate with scientists and engineers to turn frontier research into product impact.

Responsibilities

Research and build agentic AI systems: reasoning, planning, tool use, memory, and multi-agent collaboration, powered by LLMs and VLMs.
Advance post-training techniques (SFT, RLHF, RL with verifiable rewards, preference optimization) to improve model capability, alignment, and reliability.
Improve the performance, efficiency, and scalability of foundation models across training, inference, and test-time compute.
Design rigorous evaluations and benchmarks for models and agents in real-world scenarios.
Collaborate with cross-functional teams to ship research into production applications.
Track frontier research, propose new directions, and publish key findings at leading AI/ML venues.

About You

Minimum Qualifications

Master's degree or Ph.D. in Computer Science, Electrical Engineering, Mathematics, or a related field, with research experience in AI/ML.
Deep understanding of modern foundation models, with expertise in at least one of: LLMs, VLMs/multimodal models, RL, or agentic systems.
Hands-on experience building with LLMs: fine-tuning, RAG, agent frameworks (e.g., tool use, function calling), or product prototyping. Fluency with AI-assisted coding workflows is a plus.
Proficient in Python and PyTorch; able to build, train, and optimize models effectively.
Strong ability to analyze model behavior, diagnose bottlenecks, and improve training and inference pipelines.
Clear communication skills and a team-first attitude in a fast-paced, collaborative environment.

Preferred Qualifications

Publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP).
Experience with large-scale distributed training or LLM post-training pipelines.
Contributions to open-source projects (e.g., agent frameworks, model or benchmark releases).
Passion for pushing the frontier of generative and agentic AI and bridging research with impactful real-world applications.

#LI-TC1

How we rate this

Research Scientist (Generative & Agentic AI) at Appier rates 100 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Research Scientist (Generative & Agentic AI) is an open job at Appier.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Taipei, Taiwan.
The job was posted on July 21, 2026.
Applications are handled by Appier. Apply on Appier

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsFine-tuningPyTorch

Also common in research scientist jobs at this level

Machine learning Deep learning C++Generative AI Computer vision CUDA

Pay

Typical research scientist job: $192k

This posting doesn't list pay. Use the typical research scientist figure when pay comes up. See research scientist jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
What's a project where you used PyTorch hands-on?
How would you decide a model or AI system is ready to ship?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, Fine-tuning, and PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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