Tech Lead

Funai Consulting India

Bengaluru South

Vor Ort

INR 4.000.000 - 7.000.000

Vollzeit

14 Tage+

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Zusammenfassung

Funai Consulting India is seeking a seasoned Tech Lead to own the architecture and delivery of AI-powered SaaS platforms for Japanese enterprises from Bangalore South. You will bridge Japan HQ and the India GCC, guiding a team through design, development, and production deployment.

You should bring 10+ years in software engineering, 8+ years in SaaS/backend, and 3+ years shipping production AI/LLM products on GCP/AWS. Leadership and cross-cultural collaboration are essential.

Qualifikationen

  • 10+ years of total engineering experience across SaaS platforms and backend development.
  • 8+ years in hands-on SaaS/backend engineering (Python, Node.js, or Java).
  • 3+ years of production AI/LLM experience with real product deployment.

Aufgaben

  • Design agent workflows with tool calling, multi-step reasoning, routing, and guardrails.
  • Build RAG pipelines for embedding, retrieval, re-ranking, and evaluation loops.
  • Define production-quality AI outputs with fallback handling, human-in-the-loop, and safety rules.
  • Coordinate with Japan HQ to translate business challenges into AI and SaaS system requirements.
  • Translate Funai Consulting India methodologies into scalable, AI-powered digital systems.
  • Propose and present AI and SaaS platform solutions to Japan HQ for review and adoption.
  • Conduct architecture reviews and technical support across all internal development projects.

Kenntnisse

Total engineering exp
SaaS/backend engineering
Frontend framework
Production AI/LLM
Cloud deployment
Reliability basics
RAG knowledge
AI tool integration
Team leadership
Vendor coordination

Tools

Python
Node.js
Java
React/Vue/Angular
GCP/AWS

Jobbeschreibung

Bangalore South, India | Posted on 06/04/2026

We are looking for a seasoned Tech Lead who combines deep SaaS platform engineering experience with hands-on, production-grade AI agent development. You will own the architecture and delivery of AI-powered systems that drive digital transformation (DX) for Japanese enterprises across diverse industries - acting as the technical and strategic bridge between Japan headquarters and the India GCC.

You bring at least 8 years of SaaS/Fullstack engineering and 3+ years of production AI/LLM experience . Zoho is a key integration target in our ecosystem, but deep Zoho expertise is not required at entry. We value cloud-native AI engineering, reliable integration design, and the ability to lead a team from concept to production.

Key Responsibilities
  • Design agent workflows - tool calling, multi-step reasoning, routing, and guardrails
  • Build RAG pipelines covering embedding, retrieval, re-ranking, and evaluation loops
  • Define "production quality" standards for AI outputs - fallback handling, human-in-the-loop, and safety rules
  • Coordinate with Japan HQ departments to identify business challenges and translate them into AI and SaaS system requirements
  • Translate Funai Consulting India methodologies into scalable, AI-powered digital systems
  • Propose and present AI and SaaS platform solutions to Japan headquarters for review and adoption
  • Conduct architecture reviews and technical support across all internal development projects
Engineering & Operations
  • Build backend services and APIs and integrate with business systems (Zoho, GCP, etc.)
  • Own reliability patterns: retries, idempotency, structured logging, and re-run design
  • Implement monitoring and alerting across quality, latency, error rate, and cost dimensions
Tech Leadership & Team Management
  • Lead design reviews and code reviews; create reusable templates and standards
  • Assign engineers across development projects; monitor progress and deliverables
  • Mentor engineers and help the team ship consistently and with quality
  • Manage technical communication with overseas vendors and Zoho partners
Must-Have Skills & Experience
  • 10+ years of total engineering experience , combining SaaS platform and backend development
  • 8+ years of hands-on SaaS/backend engineering (Python, Node.js, or Java)
  • 5+ years of hands-on Experience on FrontEnd Framework(React/Vue/Angular)
  • 3+ years of production AI/LLM experience - shipped a real product (not PoC-only) using Gemini, Claude, or OpenAI
  • Production experience on GCP or AWS - deployment, monitoring/logging, and IAM basics
  • Reliability fundamentals: retries, idempotency, structured logging
  • Practical RAG knowledge - embedding, retrieval, and evaluation; experience with a vector DB is a plus
  • Experience with AI tool integration - connecting LLMs or AI agents to business systems and workflows
  • Team leadership experience - leading a team of 3-5 engineers end-to-end
Preferred Skills
  • Japanese communication ability at JLPT N2 or equivalent - ability to discuss and define requirements directly with Japan HQ department heads is a strong advantage
  • Experience working in or closely with a Japanese corporate environment - familiarity with Japanese business culture, communication style (Hou-Ren-So), consensus-driven decision-making, and cross-cultural collaboration
  • Experience building or integrating MCP (Model Context Protocol) servers to connect agents to Zoho, Google Workspace, or other business tools
  • Understanding of RAG grounding strategies for proprietary knowledge bases
Nice-to-Have Skills
Zoho / Business Systems
  • Experience integrating with Zoho CRM, Creator, or Books via REST APIs and webhooks
  • Hands on with widget or portal integration experience, Deluge scripting
  • AWS or Azure cloud platform experience alongside GCP
  • LangGraph, LangChain, LlamaIndex, or Semantic Kernel
  • Queue/DLQ patterns - Pub/Sub, SQS, or Kafka
  • Java experience in enterprise SaaS integrations
Security & Governance
  • PII handling, audit logging, and role/permission design
  • OAuth/OIDC and SSO concepts (Okta/Entra ID)
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