We are seeking a skilled and experienced AI Engineer with a deep understanding of Large Language Models (LLMs) and their applications in production environments. This role requires a forward-thinking individual passionate about AI-driven solutions and capable of developing cutting-edge systems to tackle complex business challenges. You will collaborate closely with cross-functional teams to build scalable AI systems, integrate LLMs into business processes, and ensure their robustness and efficiency.
Responsibilities:
- Lead the development, fine-tuning, and deployment of LLM-based services to solve real-world business problems, ensuring high performance and scalability
- Explore and implement techniques like prompt engineering, token optimization, and model fine-tuning to improve LLM performance
- Collaborate with clients to understand their business needs, translate them into data-driven AI solutions, and communicate findings and recommendations clearly
- Conduct data acquisition, cleaning, and exploratory analysis to support AI model development and ensure data integrity
- Present complex AI and data analytics concepts to clients and stakeholders in an easily understandable manner, bridging the gap between technical and non-technical audiences.
- Monitor the performance of AI solutions, ensuring quality, accuracy, and alignment with business objectives through regular validation and iteration
- Work with cross-functional teams to enhance business processes and develop new features that improve efficiency and client experience
- Mentor and guide junior team members, fostering a culture of continuous learning, collaboration, and professional growth
- Stay current with advancements in LLM research and technologies to ensure our solutions remain cutting-edge
Qualifications:
- Bachelor's or Master’s degree in Data Science, Computer Science, AI, or related fields
- 3+ years of hands-on experience in AI development, with a strong focus on LLM-based applications
- Demonstrable experience with LLMs, including techniques such as prompt engineering, fine-tuning, and optimization for real-world applications
- Proven experience in translating business requirements into data-driven solutions and effectively communicating the results to diverse audiences
- Strong problem-solving and analytical skills, with the ability to derive meaningful insights from complex data sets
- Proficiency in Python and familiarity with object-oriented programming, multiprocessing, and API frameworks
- Hands-on experience with relational databases, cloud-based data warehouses, and data visualization tools
- Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and transformer architectures
- Self-driven, proactive, and able to work independently as well as part of a team
- Strong organizational skills and attention to detail, with a commitment to continuous improvement and learning
Desired skills and experience:
- Work experience in machine learning with an emphasis on deep learning
- Experience with object-oriented programming, multiprocessing, and API frameworks
- Experience with Ruby on Rails
- Business-level English and Japanese
- Experience working in a multinational project team
- Curious, self-motivated, and with a strong sense of responsibility