Product Implementation and Adoption Support Engineer (FDE)

This forward-deployed engineering role leads the technical delivery of Idein product implementations from proof of concept through production operation, operational adoption, and customer outcomes. As a founding member of the FDE organization, the engineer understands each customer’s operational challenge, proposes an appropriate solution, and connects implementation work with continued product use and expansion.

Responsibilities include designing and implementing customer-environment deployments from PoC to production, defining technical requirements through customer interviews, organizing assumptions and constraints, and designing system configurations. The role also designs, implements, and operates API and surrounding-system integrations. To establish reliable production use, the engineer improves monitoring, operational workflows, and incident-response arrangements. After deployment, the engineer provides technical problem-solving and improvement proposals while accompanying customers toward effective use and results. Projects are advanced in coordination with product managers, account executives, and partners.

The position also implements and further develops solutions that use machine-learning models. Examples include deploying and evaluating image-recognition models on edge devices or robots, and building or improving models for work analysis. The posting names API integration, edge AI, IoT, image recognition, machine learning, monitoring, operational design, and incident response as part of the work. Idein’s wider technical context includes large-scale remote operation of Raspberry Pi edge devices and optimization technology for running deep learning on resource-constrained chips.

The main product is Actcast, an edge AI and IoT platform for collecting data at scale and in real time from many operational sites while considering privacy. Related work includes AI-camera analysis for FamilyMart in-store signage, a KDDI and Lawson project at TAKANAWA GATEWAY CITY, and edge applications for manufacturing sites such as automotive production. The broader development context includes an edge AI camera for retail and manufacturing, an automated valet-parking system using AI cameras, and the multimodal conversational agent Saya. The role uses these product and research assets to address complex physical-world problems rather than applying a fixed solution without adaptation.

During the first three months, the expected focus is learning the product and customer challenges, joining senior colleagues to understand the proposal-to-deployment process, and taking one project through introduction to results, including operational support. From the sixth month onward, the engineer is expected to independently manage the process from proposal through deployment and results, standardize effective approaches for wider use, and take responsibility for activities connected with continued use and expansion.

The work location is in Chiyoda, Tokyo, and the position is primarily remote. It is not based on permanent customer-site assignment, although office attendance, customer visits, or business travel may occur when needed.