Applied AI Scientist

3 days ago

Taipei Taipei City, Taiwan Superinsight Full time $120,000 - $180,000 per year

We're seeking an Applied AI Scientist to design, develop, and optimize intelligent agent systems powered by large language models. You'll drive research and engineering to deliver high-impact, real-world AI solutions that are reliable, scalable, and transformative.

About Us

is one of the fastest-growing startups in the legal and medical sectors in the U.S. We're redefining how attorneys interact with medical records using AI to accelerate and improve the way legal professionals process injury and disability claims. As a venture-backed company and proud member of the NVIDIA Inception Startup Program, we're building secure and scalable tools to bring real impact to law and healthcare.

What You'll Do

  • Research and implement
    AI agents and multi-agent architectures
    , including agentic workflows, orchestration frameworks, and tool-use integration.
  • Develop
    dynamic reasoning and interaction strategies
    , leveraging chain-of-thought reasoning, decision policies, and routing mechanisms.
  • Build and optimize
    LLM-based pipelines
    with retrieval-augmented generation (RAG), vector search, context management, and grounding to external data.
  • Apply
    few-shot learning, in-context learning, and post-training optimization
    , including instruction tuning, prompt engineering, and fine-tuning (SFT, LoRA).
  • Leverage
    reinforcement learning
    to improve agent decision-making, coordination, and RLHF pipelines.
  • Integrate agents with
    external APIs and tools
    for advanced tool-augmented workflows.
  • Design
    evaluation pipelines and feedback loops
    to continuously improve agent performance, reliability, and factuality.
  • Lead projects like
    agentic search, due diligence pipelines, token recommendation systems, and generative response optimization
    .

What We're Looking For

  • Master's degree in CS, AI, Data Science, or related field (PhD preferred).
  • 3+ years of experience in
    AI/ML system design
    , especially NLP and deep learning.
  • Expertise with
    LLMs, prompt engineering, few-shot/in-context learning, and post-training techniques
    .
  • Hands-on experience with
    reinforcement learning
    applied to AI agents.
  • Strong proficiency in
    Python
    and frameworks such as PyTorch, TensorFlow, Hugging Face, or LangChain.
  • Familiarity with
    information retrieval, vector search, and knowledge integration
    .
  • Proven ability to build
    scalable, high-performance AI solutions
    .
  • Collaborative mindset to work across
    research, engineering, and product teams
    .

Why Join Us

  • Lead innovation at the intersection of
    AI, legal tech, and healthcare
    .
  • Work on projects that
    directly improve outcomes for real people
    .
  • Remote-first culture emphasizing
    trust, ownership, and speed
    .
  • Competitive salary, meaningful equity, and
    growth opportunities for your career
    .

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