Principal AI Engineer (Python, Machine Learning, NLP)

Responsibility

We are looking for a Prompt Engineer with a strong foundation in large language models (LLMs), prompt design, and system integration — someone who can go beyond prompt tuning to design, build, and operate practical AI Agent systems that enhance and automate back-office workflows.

• Design and develop AI Agent platforms or applications from scratch, especially for automating and enhancing back-office operations using LLMs
• Develop and iterate on high-quality prompts, prompt-chaining strategies, and evaluation pipelines
• Monitor agent behavior and system metrics to identify and mitigate hallucinations, performance degradation, or edge cases
• Evangelize and integrate tools, workflows, and development cultures to support rapid and responsible AI feature development
• Collaborate with backend, frontend, and infrastructure teams for seamless integration and delivery
• Mentor team members in best practices for prompt engineering, LLM integration, cloud AI tools, and evaluation methodologies
• Take technical ownership of AI initiatives, leading cross-functional collaboration (BE/FE/AI/SRE), and driving system-level decisions

Just for your reference: Money Forward will become the No.1 Back-Office AI company

Requirement

• Technical
  • Must have
    • 3+ years of experience with Python (or Golang as an alternative)
    • Practical experience designing and optimizing prompts for LLMs in production environments
    • Basic understanding of:
      • Frontend development (e.g., TypeScript/React)
      • Backend development (e.g., web frameworks, databases)
      • Cloud infrastructure (e.g., Azure, AWS, Terraform, serverless architecture)
    • Experience with:
      • Architecture design about multi agent orchestration
      • LLM orchestration frameworks like AutoGen, LangChain and LlamaIndex
      • RAG architecture and vector stores
      • Integrating AI services from platforms like Azure AI Foundry, AWS Bedrock, or GCP Vertex AI
  • Nice to Have
    • 5+ years for Web development
    • Familiarity with fine-tuning or instruction-tuning workflows
    • Understanding of AI system deployment from a security/compliance standpoint
    • Exposure to IaC and CI/CD in production systems
    • Experience in B2B application development
    • Experience introducing traditonal machine learning techiniques and related ML pipeline to improve businesses.
• Communication
  • Experience to lead a project as a team leader (required for Leader position)
  • Experience to educate team members
  • Strong sense of ownership