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Tech Lead (Backend / Fullstack | 7–10 Years)
Public Listed - Product Based Company
Tech Lead (Backend / Fullstack | 7–10 Years)
Public Listed - Product Based Company's logo

Tech Lead (Backend / Fullstack | 7–10 Years)

at Public Listed - Product Based Company

Agency job
7 - 10 yrs
₹40L - ₹75L / yr
Bengaluru (Bangalore)
Skills
skill iconJava
skill iconPython
skill iconGo Programming (Golang)
skill iconNodeJS (Node.js)
Database Design
SQL
skill iconPostgreSQL
skill iconDocker
skill iconKubernetes
Open-source LLMs
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
AI Agents
Distributed Systems
Microservices
Enterprise architecture
SOA
API
RESTful APIs
FastAPI
skill iconFlask
Apache Kafka
skill iconRedis
Celery
skill iconReact.js
MERN Stack
High-level design
High availability
High-throughput
Vector database
Debugging
Troubleshooting
Object Oriented Programming (OOPs)
Data Structures
Algorithms
Bachelor of Computer Science
Operating systems
Compute systems
Infrastructure
Data Platforms
Backend Platforms

🧭 Tech Lead (Backend / Fullstack | 7–10 Years)

Location: Bangalore (On-Site, Hybrid)

Company Type: Public-Listed Product Company


We’re Building a “Top 1% Engineering Org”

We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.

Think:

→ Rewriting legacy systems into AI-native architectures

→ Embedding LLMs + Agentic AI into core workflows

→ Reimagining platforms, infra, and data systems for the next decade

This is the kind of shift you’d expect from Google, Microsoft, or Meta —

Except you get to build it from day 0 → scale it globally.


About the Role / Team

We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.

This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.


You will be working on:

  • Agentic AI systems & LLM-powered workflows
  • Distributed, scalable backend systems
  • Enterprise-grade AI platforms
  • Automation-first engineering environments

🚀 The Mandate

Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.


🧩 What You’ll Do

  • Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
  • Design systems across backend + frontend (if fullstack)
  • Translate ambiguous problems into structured technical solutions
  • Drive engineering best practices, code quality, and velocity
  • Mentor engineers and elevate team performance
  • Collaborate with stakeholders on roadmap and execution strategy


🧠 What We’re Looking For

  • Strong experience in backend systems + optional frontend frameworks
  • Proven ability to lead projects and deliver at scale
  • Solid understanding of system design and architecture patterns
  • Ability to balance speed vs quality vs scalability trade-offs
  • Strong communication and leadership without authority
  • Strong coding skills in Python / Java / Go / Node.js
  • Solid understanding of data structures, system design basics, and backend architecture
  • Experience building scalable APIs and services
  • Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
  • Strong debugging, problem-solving, and ownership mindset


Nice to Have

  • Experience integrating LLMs, vector databases, or AI pipelines
  • Contributions to architecture at scale
  • Experience with Agentic AI / LLM orchestration frameworks
  • Background in product engineering or platform companies
  • Exposure to global-scale systems (millions of users / high throughput)


🔥 What Sets You Apart

  • Experience leading platform builds or major system rewrites
  • Exposure to AI systems, LLM integrations, or intelligent workflows
  • Built platforms used by millions of users / high-throughput systems
  • Experience with event-driven systems, stream processing, or infra platforms
  • Prior work on AI/ML platforms, model serving, or intelligent systems


Background: We Commonly See (But Not Limited To)

  • Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
  • Leading engineering schools in India and globally
  • Engineers with experience in top product companies, AI startups, or research-driven environments
  • That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.


Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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