Senior AI Engineer (Generative AI)
Description For Senior AI Engineer (Generative AI)
AI Fund is revolutionizing digital workflow with IrisGo, an innovative AI butler designed for the AI PC era. Based in California and Taipei, we're addressing the challenges of fragmented digital work through advanced AI automation. We're seeking a Senior AI Engineer to join our mission of transforming human-computer interaction.
The ideal candidate will bring 4+ years of ML/AI engineering experience, with a focus on Large Language Models (LLMs) and Generative AI technologies. You'll be at the forefront of developing cutting-edge AI systems, combining deep technical expertise with practical product implementation.
Your role will involve architecting scalable AI systems, leading end-to-end development efforts, and implementing advanced features using state-of-the-art GenAI techniques. You'll work with technologies like LangChain, LlamaIndex, and various cloud platforms, while contributing to critical decisions about model selection, finetuning, and safety mechanisms.
We're looking for someone who excels in both technical implementation and strategic thinking, capable of balancing R&D experimentation with delivering production-ready code. Your strong foundation in full-stack development, coupled with expertise in AI/ML, will be crucial in building the next generation of productivity tools.
This remote position offers the opportunity to work with a dynamic team of engineers and builders who are passionate about solving complex problems in browser automation, computer use, and workflow orchestration. If you're excited about shaping the future of productivity through ambient, intuitive, and immersive AI solutions, this role presents an exceptional opportunity to make a significant impact.
Responsibilities For Senior AI Engineer (Generative AI)
- Architect and implement scalable AI systems and applications powered by LLMs and multi-agent frameworks
- Lead end-to-end development efforts, including model integration, infrastructure design, and application logic
- Prototype and deploy GenAI applications that combine retrieval, tool use, reasoning, and interactivity
- Contribute to decision-making around model selection, finetuning, evaluation, and safety mechanisms
- Monitor AI/ML performance in production and drive continuous improvement of prompt, RAG, and agent pipelines
- Stay at the forefront of GenAI developments and bring innovative ideas into the product roadmap
Requirements For Senior AI Engineer (Generative AI)
- 4+ years of experience working in ML or AI engineering roles, ideally with focus on NLP or GenAI
- Deep understanding of how modern LLMs work, including transformer architectures, finetuning, and evaluation
- Hands-on experience implementing and optimizing GenAI techniques
- Proficiency with GenAI frameworks and tools
- Experience integrating LLMs into real-world applications
- Solid foundation in full-stack development or backend systems
- Experience designing and deploying scalable APIs and cloud infrastructure
- Proficient with databases
- Comfortable working in agile product teams
- Strong Git/GitHub collaboration skills and comfort working with CI/CD workflows and containerization
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