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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 bridges deep SaaS/backend engineering with AI agent development acting as the technical and cultural bridge between Japan HQ and the India GCC. Japanese language skills or experience working with Japanese enterprises is a strong advantage. This is NOT a translation, interpretation, pharmacovigilance, ortechnical support role. Software engineering experience is required. Role & 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 3-5 engineers Preferred candidate profile - 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) - Japanese communication ability at JLPT N2 or equivalent strong advantage for direct collaboration with Japan HQ - 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 - Only Female candidates. 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. 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. 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 rapid-moving environment. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.