Hiring.Camp

Backend Engineer-PK

Job Board

·

Feb 20, 2026

Location
東京都新宿区西新宿6-8-1 住友不動産新宿オークタワー5/6階
Workplace
Remote
Type
Full-time
Department
Marketing
Experience
3+ years
Education
Bachelor
Closing date
Today
Source
Vincere

Description

Microsoft Word - Geniee Backend Engineer JD

 

Position

Generative Backend Engineer

Role : Member

Role Summary

As a Backend Engineer, you will lead the design, development, and

operation of backend systems for JAPAN AI's product suite. You will

design and build scalable, robust backend architectures and technical

foundations for next-generation products utilizing AI agent technologies

and large language models. We expect you to contribute to enhancing

product value through collaboration with cross-functional teams.

Why You’ll Love This Role

 Cutting-edge technology challenges:

o Work with state-of-the-art technologies such as large

language models and generative AI

 Complex SaaS product development:

 

 

o Build high-value expertise by solving challenges in

high-traffic B2B products

 Socially impactful product development:

o Contribute to solving real-world problems for society

and enterprises using AI technology

 Collaboration with diverse talent:

o Work alongside talented members from diverse

backgrounds in a stimulating growth environment

 Balance of personal and organizational growth:

o Thrive in a dynamic environment that balances

individual growth with organizational development

Responsibilities

 AI Product Development

o Design, develop, and operate backend systems for AI

products

o Implement AI agent systems utilizing large language

models (LLMs)

 

 

o Develop APIs for real-time speech processing and

speech synthesis systems

o Build and optimize natural language processing

pipelines

 System Architecture & Infrastructure

o Design distributed systems using microservices

architecture

o Design and implement scalable APIs for high-traffic

scenarios

o Containerization and Kubernetes operations on GCP

o Database design and query optimization for large-scale

data processing

 Development Process & Quality Improvement

o Build and improve CI/CD pipelines

o Promote code reviews and test automation

o Build monitoring and log analysis systems

o Implement and operate based on security

requirements

 

 

 Machine Learning & AI Integration

o Integrate and deploy machine learning models to

production environments

o Build and operate MLOps pipelines

o Optimize inference API performance and reduce

latency

o Develop A/B testing infrastructure and support data

analysis

 Team Collaboration & Technical Leadership

o Collaborate with cross-functional teams (designers,

product managers, project managers)

o Participate in technical selection and architecture

decisions

o Research new technologies, build prototypes, and

conduct technical validation

o Improve and automate development processes

Team Structure

 

 

Approximately 70 members in the development organization, divided

into:

 Client Solution Development

 In-house AI SaaS Development

 Common platform development (Infrastructure / Data / DX / AI

R&D)

Required Qualifications

We are looking for candidates with:

 Bachelor's degree in Computer Science, Software Engineering,

Artificial Intelligence, Machine Learning, Mathematics, Physics,

or related fields, or equivalent practical experience

 5+ years of application development experience using Python

 3+ years of experience developing complex SaaS products or

high-traffic B2B products

 3+ years of experience with cloud services (AWS, GCP, Azure)

and container technologies (Docker, Kubernetes)

 

 

 Experience working at startups or growth-stage companies, or

equivalent environments

 Knowledge of and passion for AI-related technologies

 Language requirements (either):

o Japanese: Fluent (able to discuss product development

without misunderstandings)

o English: Business level

Preferred Qualifications

Candidates with the following experience or skills will be highly

regarded:

 Experience building systems utilizing natural language

processing or machine learning

 Experience developing machine learning models with Python,

TensorFlow, or PyTorch

 Experience with chatbot, speech recognition systems, or AI

agent development

 

 

 Experience launching new businesses/products from the 0→1

phase

 Full-stack application development experience

 Bilingual (Japanese/English)

Tech Stack

Languages: Python (for framework development), TypeScript / React /

Next.js (frontend) / NX

Infrastructure: GCP (containers / Kubernetes), Docker

Tools: Slack, Confluence, Linear, Google Workspace, GitHub, Notion,

etc.

Work Environment: Mac (Apple Silicon), dual monitors available

Learning and Development Support

 AI Tool Usage Support:

o Company covers the cost of using AI tools such as

JAPAN AI SaaS services, Cursor, ChatGPT, Claude, etc.

 Development Tool Support:

 

 

o If a desired development tool is paid, the cost is

covered (up to 30,000 yen per year)

 Book Purchase Assistance:

o Company covers the cost of purchasing books for

learning, such as technical books (up to 30,000 yen

per half-year)

 Language Learning / Qualification Support:

o Company covers the cost of Japanese or English

learning programs and qualification acquisition

 Refresh Allowance:

o Company covers the cost of services used for personal

refreshment (up to 5,000 yen per month)

o e.g., gym, yoga, chiropractic, aquarium, movies,

theme park tickets, etc.

 Housing Allowance:

o Housing allowance provided for those living in

designated areas (up to 30,000 yen per month)

 

 

Work Style

Hybrid Work: 3 days in office, 2 days remote

Flexible working hours: Core time is negotiable

Flexibility: Future consideration for more flexible work styles is possible

Selection Process

CV Screening → Coding test → Multiple Interviews → Final Interview

(Reference checks are required before the final interview.)

 

 

Skills

PythonAWSAzureGCPDockerKubernetesCI/CDMachine LearningMicroservices