Senior ML Engineer (LLMOps)

Tokyo
Partial Remote
Full-time
July 10, 2026

We are looking for an aspiring professional to join our RnD team.

Responsibilities

Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs).
Own and evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration.
Develop evaluation frameworks for LLM quality, robustness, and regression tracking.
Collaborate closely with researchers, product engineers, mathematicians, and infrastructure teams to translate research prototypes into reliable production systems.
Contribute to architectural decisions around agentic systems, RAG pipelines, and hybrid ML + symbolic components.

Experience

3+ years of experience in Machine Learning or Applied AI roles.
Hands-on experience deploying ML models to production environments.
Practical experience with LLMs (open-source or proprietary) in real-world applications.
Experience operating ML systems under production constraints (latency, cost, observability, reliability).

Technical Skills

Strong Python proficiency; experience with ML frameworks.
Solid understanding of modern LLM stacks: fine-tuning, inference optimization, RAG, prompt/agent orchestration.
Experience with MLOps / LLMOps tooling: experiment tracking, evaluation pipelines, monitoring, CI/CD for models.
Familiarity with containerization and deployment (Docker, Kubernetes or equivalents).
Experience with cloud or on-prem GPU environments.

Nice to haves

Experience working in fast-moving startup or R&D-driven environments is a strong plus.
Understanding of distributed systems concepts is a plus.

Educational Background

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related field (or equivalent practical experience).

Soft Skills

Proactive mindset to stay updated with the latest advancements in AI.
Fluent in conversational and written business English (C1+).
Ability to work collaboratively in cross-functional teams.
Experience working using Agile framework.

Personal Qualities

Individual responsibility. You respect key deadlines and pass on the results of your work to your teammates in an appropriate condition.
Lifelong learning. You recognize areas for growth and proactively learn new skills for your current and prospective areas of responsibility.
Vision & planning. You can plan your work several weeks ahead and can juggle multiple projects at once. You know when to postpone a task.
Thoroughness. You cover every important aspect of your task leaving out no crucial detail.
Proactiveness and initiative. You offer help if you have spare capacity. You take initiative and pitch your own projects to others.
Critical thinking. You question every judgement, claim or number and can engage in a healthy debate with your teammates.
Dynamic, out-of-the-box mindset. You can challenge existing ways, abandon well-trodden paths and embrace the new.

Hiring process steps

Initial Screening Interview (45 minutes)
With either CHRO or Talent Specialist.
Test Assignment
This mandatory assignment takes up to 2 hours to complete, within 24 hours from the start, and is unpaid.
1st Technical Interview with our Tech Lead (1 hour)
Discuss the test assignment, and check Python proficiency.
2nd Technical Interview with our LLM Lead (2 hours)
To check domain specific proficiency.
Final interview with our CEO (1.5 hours)
To check values alignment.

APPLY NOW ➜

About Noeon Research

Noeon Research is an ambitious deep-tech startup working on a novel natively agentic graph-neuro-symbolic system with general capabilities.

The company is an international team of 30 people with headquarters in Tokyo, Japan.

They are developing Noeon – a novel natively agentic AI system with general capabilities based on carefully selected principles from mathematical category theory, knowledge representation, and computational linguistics. Noeon Research’s technology prioritizes interpretability, revisability, and generality, enabling safe and efficient adaptation to a changing world.

At the core of Noeon’s approach is a typed, compositional graph structure that is expressive enough to capture expert intuitions, formal enough to compile directly into solver input, and structured enough for LLMs to learn and manipulate. Rather than relying on manual and brittle translations from problem descriptions to formal constraints, Noeon Research enables problems described in natural language to be automatically elaborated into formal ontologies, translated to solvers, and solved — with every step remaining inspectable, auditable, and reversible.

AI Safety

Noeon Research prioritizes AI safety by focusing on interpretability to unlock capabilities safely. The company is committed to responsible research and development, taking AI safety and alignment seriously while actively contributing to the advancement of safe AI systems.

Noeon Research Offers:

Competitive salary
Flexible schedule
High autonomy
Low bureaucracy
Medical allowance
Language courses

Values at Noeon Research:

Intellectual Bravery — We confront established mainstream research, embrace uncertainty, and fearlessly innovate.
Explicit over Implicit — When changes or alternative approaches are needed, we communicate them upfront.
Focus — We are developing complex technology with limited resources. Essentials first; extras later.
Cohesion — Our team collaborates effectively, takes responsibility for shared goals, and can always rely on one another.