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About the role
About the Role: This position is with a Japan-based management consulting firm in Bangalore, driving Digital Transformation (DX) for Japanese enterprises. Hiring is managed by INDIGILAB as a recruitment partner. Full details will be shared with shortlisted candidates. We are looking for a Tech Lead who combines deep SaaS platform engineering with production-grade AI agent development acting as the technical bridge between Japan HQ and the India GCC. Key Responsibilities: Design and build production AI agent workflows, RAG pipelines, and LLM-powered automation Coordinate with Japan HQ to translate business challenges into AI and SaaS system requirements Build backend services and APIs integrating with business systems (Zoho, GCP, etc.) Own reliability patterns: retries, idempotency, structured logging, and monitoring Lead design reviews, code reviews, and mentor a team of 35 engineers Must-Have Skills & Experience: 10+ years of total engineering experience (SaaS/backend) 8+ years hands-on with Python, Node.js, or Java 5+ years with a frontend framework (React / Vue / Angular) 3+ years of production AI/LLM experience shipped real product using Gemini, Claude, or OpenAI Production experience on GCP or AWS Practical RAG knowledge and team leadership experience (35 engineers) Preferred Skills Japanese communication ability at JLPT N2 or equivalent Experience working in or closely with a Japanese corporate environment Experience building or integrating MCP (Model Context Protocol) servers Experience integrating with Zoho CRM, Creator, or Books via REST APIs Why Join: Work with Japan Act as the technical bridge between India and Japan HQ. Gain direct exposure to Japanese business culture and enterprise-level DX projects. Ownership & Impact Lead a team of engineers and drive end-to-end delivery of AI-powered digital transformation projects for Japanese enterprises. Growth Work at the intersection of AI engineering, SaaS integration, and cross-cultural consulting in a fast-moving environment. Lead AI at the Frontier Own the architecture of production-grade AI agents, RAG systems, and LLM-powered workflows not PoC, but real systems in production. About the Role: This position is with a Japan-based management consulting firm in Bangalore, driving Digital Transformation (DX) for Japanese enterprises. Hiring is managed by INDIGILAB as a recruitment partner. Full details will be shared with shortlisted candidates. We are looking for a Tech Lead who combines deep SaaS platform engineering with production-grade AI agent development acting as the technical bridge between Japan HQ and the India GCC. Key Responsibilities: Design and build production AI agent workflows, RAG pipelines, and LLM-powered automation Coordinate with Japan HQ to translate business challenges into AI and SaaS system requirements Build backend services and APIs integrating with business systems (Zoho, GCP, etc.) Own reliability patterns: retries, idempotency, structured logging, and monitoring Lead design reviews, code reviews, and mentor a team of 35 engineers Must-Have Skills & Experience: 10+ years of total engineering experience (SaaS/backend) 8+ years hands-on with Python, Node.js, or Java 5+ years with a frontend framework (React / Vue / Angular) 3+ years of production AI/LLM experience shipped real product using Gemini, Claude, or OpenAI Production experience on GCP or AWS Practical RAG knowledge and team leadership experience (35 engineers) Preferred Skills Japanese communication ability at JLPT N2 or equivalent Experience working in or closely with a Japanese corporate environment Experience building or integrating MCP (Model Context Protocol) servers Experience integrating with Zoho CRM, Creator, or Books via REST APIs Why Join: Work with Japan Act as the technical bridge between India and Japan HQ. Gain direct exposure to Japanese business culture and enterprise-level DX projects. Ownership & Impact Lead a team of engineers and drive end-to-end delivery of AI-powered digital transformation projects for Japanese enterprises. Growth Work at the intersection of AI engineering, SaaS integration, and cross-cultural consulting in a fast-moving environment. Lead AI at the Frontier Own the architecture of production-grade AI agents, RAG systems, and LLM-powered workflows not PoC, but real systems in production.
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