AI / Machine Learning Engineer

Are you an AI/ML engineer eager to build production-grade agentic systems and high-impact recommendation algorithms? A fast-growing global travel technology company is looking for an AI / Machine Learning Engineer to help rebuild and scale conversational systems into autonomous AI agents and optimize core machine learning engines.

In this role, you will work across a modern GCP cloud stack, co-developing production microservices, training both LLMs and traditional ML/DL models, and shipping solutions directly to production.

Key Responsibilities

• Model Training & Production Deployment: Train, fine-tune, and optimize both LLM and traditional ML/DL models, deploying them to production and owning their reliability, uptime, and performance metrics.
  

• Agentic AI & Algorithm Evolution: Build and evolve autonomous AI agents that handle multi-step actions and complex guest inquiries, alongside core recommender systems.
  

• System Evaluation & Testing: Rigorously evaluate AI systems to ensure accurate, reliable end-user outcomes and transparent reporting of capabilities and edge cases.
  

• Data Pipeline Engineering: Build robust data pipelines in BigQuery using dbt to support data modeling and model training workflows.
  

• Inference Analysis & Experimentation: Analyze model inference results and customer data patterns to design and run tests measuring algorithm improvements.
  

• Cross-Functional Collaboration: Partner closely with backend engineering teams to co-develop microservices and align with product managers on technical strategy.
  

Requirements

Key Requirements

• Professional Experience: 4+ years of combined experience as a Full Stack Data Scientist, Machine Learning Engineer, or AI Engineer.
  

• ML & LLM Development: Strong foundation in statistics and machine learning, with proven experience building LLM solutions (e.g., LangChain, Google ADK).
  

• Production Coding: High proficiency in Python adhering to software engineering best practices for production deployments.
  

• Data Pipelines & SQL: Solid experience with SQL, schema design, and orchestration tools such as dbt, Airflow, or Prefect.
  

• Language Skills: Professional fluency in English.
  

Nice-to-Have

• Experience designing and evaluating agentic architectures (tool/function calling, guardrails, multi-step workflows).
  

• Hands-on work with vector embeddings and RAG pipelines.
  

• Familiarity with LLM observability and evaluation tools (LangSmith, Langfuse, Braintrust, or custom harnesses).
  

• Japanese language capability.
  

Benefits

• Location: Tokyo, Japan.
  

• Work Model: Hybrid working schedule (2 days/week in-office).
  

• Employment Type: Full-Time (正社員).
  

• Benefits: Full Japanese social insurance (health, pension, employment, workers' comp) and commuting allowance.
  

• Paid Leave: 10 paid leave days granted upon joining, standard weekends/holidays, and year-end/New Year vacations (Dec 29 – Jan 3).
  

Interested in building next-generation AI agents?