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

🧭 Tech Lead (Backend / Fullstack | 7–10 Years)Location: Bangalore (On-Site, Hybrid)Company Type: Public-Listed Product CompanyWe’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 decadeThis 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 / TeamWe 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 workflowsDistributed, scalable backend systemsEnterprise-grade AI platformsAutomation-first engineering environments🚀 The MandateLead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.🧩 What You’ll DoOwn 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 solutionsDrive engineering best practices, code quality, and velocityMentor engineers and elevate team performanceCollaborate with stakeholders on roadmap and execution strategy🧠 What We’re Looking ForStrong experience in backend systems + optional frontend frameworksProven ability to lead projects and deliver at scaleSolid understanding of system design and architecture patternsAbility to balance speed vs quality vs scalability trade-offsStrong communication and leadership without authorityStrong coding skills in Python / Java / Go / Node.jsSolid understanding of data structures, system design basics, and backend architectureExperience building scalable APIs and servicesFamiliarity or curiosity around AI/LLMs, async systems, or event-driven designStrong debugging, problem-solving, and ownership mindsetNice to HaveExperience integrating LLMs, vector databases, or AI pipelinesContributions to architecture at scaleExperience with Agentic AI / LLM orchestration frameworksBackground in product engineering or platform companiesExposure to global-scale systems (millions of users / high throughput)🔥 What Sets You ApartExperience leading platform builds or major system rewritesExposure to AI systems, LLM integrations, or intelligent workflowsBuilt platforms used by millions of users / high-throughput systemsExperience with event-driven systems, stream processing, or infra platformsPrior work on AI/ML platforms, model serving, or intelligent systemsBackground: 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 globallyEngineers with experience in top product companies, AI startups, or research-driven environmentsThat said, we care far more about demonstrated ability, depth, and impact than pedigree alone.