AI / Machine Learning Engineer
Altera Recruiting
- Location
- Hybrid (Tokyo, Tokyo)
- Employment
- Full-time
- Level
- Mid Level
About the role
A fast-growing global travel technology company is seeking an AI/ML Engineer to build production-grade agentic systems and optimize core machine learning engines. You will train LLMs, develop autonomous AI agents, and scale data pipelines within a modern GCP cloud stack.
Skills
Benefits
- Social insurance
- Commuting allowance
- Paid leave
Perks
- Hybrid Work
Full job details
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?