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About the Role
An AI/ML engineer is sought to build production-grade agentic systems and high-impact recommendation algorithms. The role involves rebuilding and scaling conversational systems into autonomous AI agents and optimizing core machine learning engines within a modern GCP cloud stack.
Responsibilities
- Train, fine-tune, and optimize both LLM and traditional ML/DL models, deploying them to production and owning their reliability, uptime, and performance metrics.
- Build and evolve autonomous AI agents that handle multi-step actions and complex guest inquiries, alongside core recommender systems.
- Rigorously evaluate AI systems to ensure accurate, reliable end-user outcomes and transparent reporting of capabilities and edge cases.
- Build robust data pipelines in BigQuery using dbt to support data modeling and model training workflows.
- Analyze model inference results and customer data patterns to design and run tests measuring algorithm improvements.
- Partner closely with backend engineering teams to co-develop microservices and align with product managers on technical strategy.
Requirements
- 4+ years of combined experience as a Full Stack Data Scientist, Machine Learning Engineer, or AI Engineer.
- Strong foundation in statistics and machine learning, with proven experience building LLM solutions (e.g., LangChain, Google ADK).
- High proficiency in Python adhering to software engineering best practices for production deployments.
- Solid experience with SQL, schema design, and orchestration tools such as dbt, Airflow, or Prefect.
- Professional fluency in English.
- 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.
Skills
- Python
- SQL
- dbt
- Airflow
- Prefect
- LangChain
- Google ADK
- LLM
- Machine Learning
- Deep Learning
- Data Pipelines
- Vector Embeddings
- RAG Pipelines
- LangSmith
- Langfuse
- Braintrust
Location
- Tokyo, Japan
Work Type
- Hybrid
- Full-Time
Experience Level
- 4+ years
Benefits
- Full Japanese social insurance (health, pension, employment, workers' comp)
- Commuting allowance
- 10 paid leave days granted upon joining
- Standard weekends/holidays
- Year-end/New Year vacations (Dec 29 – Jan 3)
About the Company
- A fast-growing global travel technology company.