Senior ML Engineer (LLMOps)
Noeon Research is an ambitious deep-tech startup working on a novel natively agentic graph-neuro-symbolic system with general capabilities.
We are an international 30-people team with headquarters in Tokyo, Japan. We are looking for an aspiring professional to join our RnD team.
Keywords
LLMOps, Large Language Models, Model Serving, MLOps, Agentic Systems, RAG, Evaluation, Monitoring, Production ML, Docker, Kubernetes, Python
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Overview
Country
Japan
City
Tokyo
Category
ML Engineering
Required Background
Machine Learning / Computer Science / Software Engineering
Tokyo Office
Hybrid Work
Outside Japan
Not available
Relocation
Required
Employment Type
Full-Time
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Responsibilities and Expectations
Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs).
(01)
Own and evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration.
(02)
Develop evaluation frameworks for LLM quality, robustness, and regression tracking.
(03)
Collaborate closely with researchers, product engineers, mathematicians, and infrastructure teams to translate research prototypes into reliable production systems.
(04)
Contribute to architectural decisions around agentic systems, RAG pipelines, and hybrid ML + symbolic components.
(05)
Experience
3+ years of experience in Machine Learning or Applied AI roles.
(01)
Hands-on experience deploying ML models to production environments.
(02)
Practical experience with LLMs (open-source or proprietary) in real-world applications.
(03)
Experience operating ML systems under production constraints (latency, cost, observability, reliability).
(04)
Experience working in fast-moving startup or R&D-driven environments is a strong plus.
(05)
Technical skills
Strong Python proficiency; experience with ML frameworks.
(01)
Solid understanding of modern LLM stacks: fine-tuning, inference optimization, RAG, prompt/agent orchestration.
(02)
Experience with MLOps / LLMOps tooling: experiment tracking, evaluation pipelines, monitoring, CI/CD for models.
(03)
Familiarity with containerization and deployment (Docker, Kubernetes or equivalents).
(04)
Experience with cloud or on-prem GPU environments.
(05)
Understanding of distributed systems concepts is a plus.
(06)
Educational background
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or a related field (or equivalent practical experience).
(01)
What soft skills are essential
Proactive mindset to stay updated with the latest advancements in AI.
(01)
Fluent in conversational and written business English (C1+).
(02)
Ability to work collaboratively in cross-functional teams.
(03)
Experience working using Agile framework.
(04)
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 recognise areas for growth and proactively learn new skills and knowledge 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 to keep your workload manageable.
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 in the name of the great.
What we are offering
Competitive Salary
Our target salary range is 16-22M JPY per year for a full-time position.
(01)
Flexible Schedule
Outside scheduled team meetings, teammates are free to work on their tasks independently. When to work is a personal choice. Just do not overwork – that is inefficient.
(02)
Autonomy
High autonomy is crucial for us – the small and agile team can achieve a breakthrough if its members are professional and independent. However, we promote helping each other. That is crucial too.
(03)
Low Bureaucracy
What we value most are performance and results, not a strict process following. However, metrics, processes, and documentation are important too. We just keep their priorities low.
(04)
Medical Allowance
Compensation of additional medical costs, yearly health checkup.
(05)
Language Courses
Support for Japanese language training
(06)
Other
Visa Sponsorship, Relocation Allowance, Travel Allowance, Commute Allowance, Japanese Social Security, Maternity & Childcare leave, Life Support.
(07)
How we are different
Beyond ML
(01)
People tend to think that AI is solely Machine Learning, like ChatGPT (or DALL-E 2, or Microsoft Bing, or ChatSonic). We are building our solution on an alternative architecture which incorporates ML as a part.
High-Tech
(02)
We put much effort into profound research and development of new underlying technologies rather than reusing existing ones.
Safety and Alignment
(03)
We want to be responsible in our research and development. We don't turn our noses up at AI safety research and take the issue of alignment seriously.
Just write to us! Please attach your CV or LI
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Midtown Tower 34F, 9-7-1 Akasaka, Minato-ku, Tokyo, Japan
Midtown Tower 34F, 9-7-1 Akasaka, Minato-ku, Tokyo, Japan
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