🧭 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.
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