Tech Lead

Funai Consulting

Bengaluru

In loco

INR 2.000.000 - 3.000.000

Tempo pieno

14 giorni+

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Funai Consulting in Bengaluru is seeking a seasoned Tech Lead to own the architecture and delivery of AI-powered systems that drive digital transformation for Japanese enterprises. This role needs a combination of deep SaaS platform engineering and hands-on AI agent development.

The ideal candidate will have at least 8 years in SaaS engineering and 3+ years in production AI/LLM, along with leadership experience in managing technical teams. A good understanding of cloud-native AI engineering and system integration is essential.

Competenze

  • At least 8 years of SaaS/Fullstack engineering experience.
  • 3+ years of production AI/LLM experience.
  • Experience with cloud-native AI engineering.

Mansioni

  • Design agent workflows and define production quality standards.
  • Build backend services and APIs integrating with business systems.
  • Lead design reviews and monitor progress of development projects.

Conoscenze

SaaS platform engineering
AI/LLM experience
Team leadership
Production engineering (Python, Node.js, Java)
Frontend frameworks (React/Vue/Angular)

Strumenti

GCP
AWS
Zoho

Descrizione del lavoro

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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