Basic Information

Client ID: 106000

Job ID: 2411

Position: AIB2C

Location: Tokyo

Salary: 8M TBA JPY

Language: Japanese English (Business)

Contract type: Permanent

Who we are

AIAIAIAIAISDGsGRASP EARTH45

AI

AI

• English here

  WE are a tech innovation firm that addresses business and societal challenges using solutions powered by AI and deep learning technologies. We specialize in MultiModal AI which combines various AI solutions to handle diverse data including image analysis deep learning anomaly detection AI using sensors and optimization AI. We are involved in every aspect of the process from strategic planning to requirement definition onsite consultation development and operational maintenance ensuring a comprehensive approach that delivers a return on investment. We have a track record of numerous achievements including automating waste incineration operations.

  Furthermore we actively engage with societal challenges and have received consecutive awards such as the 4th and 5th Space Development Utilization Awards for our work in discovering SDGs issues and environmental changes from satellite imagery including GRASP EARTH.

  In the future we will continue to pursue the heights of technology and business providing the highest level of solutions that allow society and our clients to experience sustainable results.

  Business Activities:

  • Consulting and development of AI and deep learning technologies.
  • Providing products through joint ventures licensing maintenance models and inhouse development.
  • Offering AI analysis solutions utilizing artificial satellite data.

Roles and Responsibility

LLM

AWSLLM

• English here

  As the lead of a large specialized team developing and operating LLMbased chatbot services you will utilize your technical expertise to ensure that chat functionalities adhere to national and corporate policies while collaborating with numerous stakeholders. You will also focus on the continuous improvement of deployed services. You will have the opportunity to apply best practices in backend cloud application development on AWS and in cuttingedge LLM application development to business scenarios. Additionally as a senior team member you will demonstrate leadership in solving business challenges and ensure quality assurance among team members.

Minimum Requirements

• LangchainPythonLLM
• RAG
• LLM
• AWSECSECRLambdaRDSElastiCache
• Infrastructure as CodeTerraform
• PythonAPIFastAPIAsyncio
• AWS
• GitflowGitHub flow

• English here
  • Experience in development management
  • Basics of LLM system development using Langchain and Python
  • Design and implementation of RAG systems
  • Creation and management of LLM benchmarks
  • Fundamental knowledge of AWS and serverless design and implementation (e.g. ECS ECR Lambda RDS ElastiCache networking)
  • Infrastructure as Code skills (Terraform)
  • Knowledge of clean asynchronous API development in Python (FastAPI Asyncio)
  • Software maintenance and operations knowledge on AWS (debugging with logs root cause analysis investigation of logical issues and performance bottlenecks)
  • Knowledge of agile development cycles (creating splitting updating prioritizing development tickets continuous iteration)
  • Knowledge of Gitflow and GitHub flow

  Meeting all of the above criteria is not mandatory. Experience close to the listed requirements and the ability to catch up are acceptable.

Preferred Requirements

• LLM
• LLM
• AWSML/LLMSageMakerBedrockOpenSearch
• LLMHugging Face
• Amplitude
• B2CA/B
• TypeScriptSQL
• English here
  • Knowledge of cuttingedge LLM updates and a strong desire for continuous learning
  • Design and implementation of LLM agentbased systems
  • Expertise in AWS ML/LLMrelated services (e.g. SageMaker Bedrock OpenSearch Vector Store)
  • Experience leading small engineering teams
  • Knowledge of finetuning LLMs (e.g. using Hugging Face)
  • Effective communication with nonengineers such as designers and product managers
  • Experience with product monitoring and observability tools (e.g. Amplitude)
  • Experience with B2C user experiments and A/B testing
  • Knowledge of TypeScript and SQL
  • General data analysis and data science skills
  • Proficiency in English

Conditions / Benefits

Employment type: Full time

Location: Chiyodaku Tokyo

Annual Salary: 8M TBA JPY (Negotiable)

Salary is determined based on experience and skills

Annual salary system (1/12 of the annual salary is paid monthly) Above includes 45 hours of overtime (additional overtime will be paid separately)

Salary review once a year (there are many cases of salary increases for high performance in just 6 months upon joining the company)

Bonus twice a year (January and July)

Hours: 9:30 18:30 (standard working hours: 8 hours)

General office hours: 9:30 18:30

Flexible working hours during probation

Core time: 10:30 16:30

Flexible time: (start) 7:30 10:30 (end) 16:30 20:30

Breaktime: 1 hour between 11:00 16:00

Two days off per week (Saturdays and Sundays)

National Holidays

Yearend and New Year holidays (December 28 January 4)

Refreshment leave (5 days after 1 year of employment)

Paid Holidays: 10 days of paid leave amount depends on the years of employment

Before annual paid leave is granted (6 months after joining the company) 3 days of special leave granted upon joining

Probation: 6 months

Benefits:

All transportation expenses are paid

Overtime allowance

Casual clothing is welcome

Telework consultation (frequency of attendance varies depending on the department and duties)

Insurance

• Employment insurance
• Workers accident compensation insurance
• Health insurance: Kanto IT Software Health Insurance Association membership
• Employee pension

Interview Process

1. CV Screening
2. Technical Test
3. 1st interview
4. 2nd Interview
5. Last Interview
6. Offer

Remote Work :

No