【募集の背景 / Purpose & Scope】

This position is responsible for designing, deploying, and maintaining robust backend systems and APIs that power Astellas' Generative AI platforms and digital transformation initiatives.

The role focuses on production-level deployment, efficient data integration, and seamless handling of diverse data formats, ensuring scalable and reliable service delivery across commercial, manufacturing, and medical operations.

【職務の内容 / Essential Job Responsibilities】

GenAI Research & Prototyping:
Continuously monitor and evaluate new generative AI models and APIs.
Rapid Proofs-of-Concept: Spin up quick prototypes to benchmark capabilities, latency, cost, and usability.

Multi-Agent Systems:
Design and develop multi-agent architectures to support collaborative AI workflows.

Fine-Tuning & Domain Adaptation:
Prepare domain-specific datasets and fine-tune LLMs (LoRA and full-model) with experiment tracking via MLflow.

API Integration & Deployment:

Design, develop, and maintain secure, scalable integrations with generative AI endpoints (OpenAI, Anthropic, HuggingFace); embed GenAI features into web, mobile, and backend systems.

Production Support & Training:
Provide hands-on support to production teams and deliver training sessions on technical AI concepts.

Performance Monitoring & Optimization:

Define and track key metrics (generation quality, response time, cost per call); implement retrieval-augmented generation (RAG) using scalable vector databases relevance.

Collaboration & Knowledge Sharing:

Partner with product managers, frontend/backend engineers, and data scientists to translate requirements into GenAI solutions; document and follow best practices.

Stakeholder Communication:
Convey complex AI concepts clearly to non-technical audiences.

【就業環境に関する要件 / Specific Physical or Environmental Requirements】

At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home.

We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas' Responsible Flexibility Guidelines.

【応募要件 / Qualifications】

<必須 / Required>

Education:
Bachelor's degree in Computer Science or a related field
Experience: 3+ years of machine learning &or software engineering, with a focus on designing, building, and deploying highly scalable AI solutions

Programming & Automation:
Expert proficiency in Python for API development, automation, and scripting

GenAI Frameworks & APIs:
Hands-on experience with generative-AI APIs (OpenAI, Anthropic, Cohere) and orchestration frameworks (LangChain, LangGraph)

Fine-Tuning & Experiment Tracking:
Skilled in fine-tuning workflows (LoRA and full-model) and experiment tracking tools such as MLflow (or equivalent)

Model Optimization:
Knowledge of model quantization techniques to reduce inference cost and latency

Retrieval-Augmented Generation:
Familiarity with vector databases (and RAG) approaches for improved relevance

Infrastructure & Deployment:
Solid understanding of RESTful and GraphQL services, containerization (Docker), orchestration (Kubernetes), and cloud platforms (GCP, Azure)

Data Safety & Cost Efficiency:
Detail-oriented approach to data privacy, security, and cost optimization

Collaboration & Communication:
Excellent problem-solving skills, clear technical communication, and proven ability to work cross-functionally with product, engineering, and data science teams

<歓迎 / Preferred>

ETL & Data Pipelines:
Familiarity with end-to-end ETL processes and tools for data extraction, transformation, and loading

Scalable ML & GenAI Projects:
Proven track record delivering large-scale machine learning or generative-AI applications

Monitoring & Logging:
Solid understanding of application monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack)

Databricks:
Hands-on experience with Databricks for data engineering and ML workflow orchestration
MCP (Model Context Protocol): Understanding of MCP for managing model inputs, outputs, and conversational context

Multi-Agent System Orchestration:
Experience designing and managing orchestration of multi-agent AI systems

Real-Time Connectivity:
Expertise integrating real-time data streams and low-latency connectivity in production systems

【応募書類 / Application Documents】

和文履歴書・和文職務経歴書・英文レジュメ

Both Japanese and English Resumes are needed

【選考プロセス / Selection details】

書類選考 → 1次面接 → 2次面接 → 最終面接

※変更の可能性もございますので、予めご了承下さい。

CV screening → First interview → 2nd Interview → Final interview

Please be advised that there might be a change in the process.

【勤務地 / Location】

(雇入れ直後)

東京都中央区 アステラス製薬 日本橋事業所 本社

Nihonbashi, Tokyo

(変更の範囲)

会社の定める事業場および自宅

【勤務開始日 / Start Date】

応相談

Will be decided according to the candidate's flexibility

【契約期間 / Contract Duration】

期間の定めなし

Not limited to specified period

【試用期間 / Probation Period】

試用期間原則なし

No probation period in principle

【給与 / Salary】

①基本給:当人の経歴・技術・技能等を考慮して決定

②裁量労働制の場合:裁量労働手当として職務グレードに応じて50,000~100,000円支給

③フレックスタイム制の場合:月間の所定労働時間を超えて勤務する時間に対して時間外勤務手当を支給

①Base salary: will be decided by the candidate's experience, skill and capability.

②When Discretionary Work System is applied: Discretionary work allowance will be paid.(50,000~100,000yen, based on the Grade)

③When Flextime System is applied: Overtime allowance will be paid for time worked in excess of prescribed working hours.

【昇給 / Salary Raise】

有り

【賞与 / Bonus】

有り

【諸手当 / Allowance】

裁量労働手当、住宅手当、通勤手当 等

Discretionary work allowance, Housing allowance, Commutation allowance, etc.

【勤務時間 / Working Hours】

8:45~17:45(月~木)、8:45~16:00(金)、企画業務型 裁量労働制

裁量労働制の場合、所定労働時間を働いたものとみなす

8:45~17:45(Mon~Thu)、8:45~16:00(Fri)

Discretionary Work System

【休日 / Holidays】

完全週休2日制(土曜・日曜)、祝日、5月1日、夏季、年末年始

Weekends(Sat and Sun), holidays, May 1st, summer vacation, New Year holidays

【休暇 / Vacation Leave】

年次有給休暇、育児休業制度、介護休業制度 等

Annual paid leave, childcare leave system, nursing care leave system, etc.

【福利厚生 / Welfare】

雇用保険、労災保険、厚生年金、健康保険、共済会制度、社宅制度、持株会制度、財形貯蓄制度 等

Employment Insurance, Industrial Accident Compensation Insurance, Welfare Pension Insurance, Health Insurance, Mutual Aid Association System, Company Housing System, Employee Shareholder Association System, Property Accumulation Savings System

【アステラス製薬 採用サイト/ Career web site】


https:
//re-For more information about Astellas, please visit our career web site.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law."
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