★Applied AI Engineer | Famous Energy Tech Company

• Japanese: Business Level REQUIRED

★Start-up Company

★Flextime System & Fully Remote Work

★Annual salary: 9 million yen - 14 million yen

★In-house Development

【About the company】

The company is a startup that operates the largest energy marketplace in Japan. Covering everything from electricity and fuel to environmental value, its goal is to achieve "Social Good" through a fair market that enables anyone to exchange all types of energy value in an open and accessible way.

As global energy conditions become increasingly uncertain, resource-scarce Japan is directly affected. For example, electricity prices—critical to the foundation of economic activity—have experienced extreme volatility. The energy marketplace developed by enechain empowers businesses to manage this uncertainty, contributing to the stabilization of the Japanese economy and revitalizing Japanese enterprises.

In order to mitigate the escalating risks of climate change, a global commitment to carbon neutrality is essential. The company's environmental marketplace promotes decarbonization efforts across entire supply chains through the trading of environmental value. By accelerating the realization of carbon neutrality, it aims to create a brighter, more prosperous future for the next generation.

Through the power of markets, the company strives to enrich Japan's economy and create a more sustainable society. By establishing a strong foundation in the form of an energy marketplace—an essential part of daily life—it brings lasting value and vitality to society as a whole.

【 Job Description】

■Company Overview

Since its founding in 2019, the company has provided an online marketplace for energy providers. It has grown into Japan's largest trading market with participation from corporate entities that account for 95% of the market share, including major electric power companies. Its Gross Transaction Volume (GTV) is approaching 3 trillion yen, and it is now aiming to realize a market with an annual transaction volume of 100 trillion yen.

In 2024, the company secured 6 billion yen in Series B funding. Investment came from domestic and international institutional investors, financial institutions, and nine energy trading firms involved in electricity, gas, and trading companies, including DCM Ventures. The company is now actively investing further into its development team.

■Products

1/ Trading Platform

Japan's first full-scale trading platform that allows energy to be freely bought and sold online (a business licensed by the Ministry of Economy, Trade and Industry).

2/ Market Data Platform

A data platform that provides all data and market information related to energy, such as market data on electricity and fuel prices, which are necessary for electricity trading.

3/ Market Risk Management Tool

An ETRM (Energy Trading Risk Management System) specialized for the Japanese power market, which visualizes business risk based on trading status and market data.

4/ Environmental Value Trading Marketplace

An online marketplace that enables the buying and selling of domestic environmental credits and overseas voluntary credits, supporting climate change mitigation and the realization of carbon neutrality in Japan.

■Mid-to-Long-Term Mission

・Leading a cluster of AI products as a single domain, rather than focusing on single features.

・Creating a repeatable pattern for the process from model development to application implementation and operation, in collaboration with domain-specialized data scientists, and rolling it out to other services.

・Experimenting with and standardizing the use of AI across the entire development organization (e.g., AI coding agents, documentation generation).

■Responsibilities

・Designing the AI solution approach by organizing the problem statement and success metrics collaboratively with the Product Manager and Business (Biz) members.

・Developing features, from prototypes to production-ready functionalities, using LLMs and machine learning models.

・Implementing on the existing microservice / batch infrastructure (e.g., API creation, batch processing, workflow construction).

・Designing the operation for the production environment and running the monitoring, alerting, and improvement cycle.

・Providing feedback from the application side for the maintenance and improvement of the existing MLOps infrastructure (e.g., GKE / workflow platform).

■ AI Environment

・NotionAI

・OpenAI

・Claude

・Gemini

・NotebookLM

・CURSOR

・Devin

■ Technology Stack

・Frontend: React, TypeScript

・Backend: Go/gRPC, NestJS/GraphQL

・Database: PostgreSQL

・Data Engineering/Analytics: Python

・Mobile: Flutter

・Infrastructure: GCP, GKE, Argo Workflows, BigQuery, Pub/Sub, Dataflow, etc

・IaC: Terraform

・Analytics Tools: Looker Studio, Tableau, Google Analytics

・CI/CD: Cloud Build, GitHub Actions, Argo CD

・Logging/Monitoring: Datadog

【 Requirements】

Required

• 3+ years of experience in software development using Python

• Practical experience building, evaluating, and improving machine learning or natural language processing models (e.g., recommendation systems, classification, regression, NLP)

• Experience developing and operating web applications or APIs (language agnostic)

• Development experience using public cloud platforms (GCP / AWS / Azure)

• Experience collaborating with business stakeholders to align requirements, define specifications, and drive projects forward

• Experience proactively involved in production environment operations (including incident response and improvements)

• Experience designing and implementing models with an awareness of explainability and risk

Preferred

• Experience developing applications using LLM/generative AI (including prompt design, evaluation workflow design, and guardrail design)

• Experience operating machine learning systems in production (including model monitoring, data drift detection, and retraining pipeline construction)

• Experience using MLOps/GenAIOps tools (e.g., MLflow, Langfuse)

• Experience developing and operating models for recommendation systems, anomaly detection, or fraud detection

• Experience driving internal AI adoption or promoting AI tool implementation

Ideal Applicants

• Empathy with the company's mission and collaborate in a purpose-driven manner

• Focus on achieving significant results as a team

• Set priorities with the goal of maximizing business impact

• Take ownership and proactively see projects through to completion

• Embrace differing opinions, speak up without fear, and engage in logical discussions

【Working Time 】

Flextime System

(*Core-time 11:00~16:00)

【 Welfare 】

・Full Social Insurance

・Commuting Allowance

・Medical checkups

・Various in-house events, etc.

■Measures to prevent passive smoking

・In principle, no smoking indoors (smoking rooms are available indoors)

・Yotsuya Office, Minami Shinjuku Office, Osaki Office

・Salary revision: Twice a year

・Allowance: Transportation expenses (in accordance with company regulations), LINE Pay Card Benefit Plan(*2)

(*1) In addition to the annual salary amount, incentives may be paid twice a year depending on the company's and the individual's performance and evaluation.

(This is not always paid. Only employees who are enrolled at the company on the date of payment are eligible for the payment).

(*2) This allowance is paid separately from salary for the purpose of "health maintenance and improvement," "self-development," and "next-generation development" of employees.

【 Holiday 】

• 2 days a week (Saturday and Sunday)
• Annual Paid Leave
• National Holidays
• New Year holiday, etc