Principal Engineer

🚨 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 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 MandateOwn and evolve the technical backbone of an AI-first enterprise platform.You will define architecture across LLM-powered systems, distributed services, and data platforms — and lead critical transformations from legacy → AI-native systems.🧩 What You’ll DoArchitect large-scale distributed systems powering AI-driven workflowsLead 0→1 and 1→N platform builds (LLM integrations, agentic systems, orchestration layers)Redesign legacy systems into scalable, modular, AI-native architecturesDrive system design excellence across teams (APIs, infra, observability, reliability)Make high-stakes decisions on trade-offs (latency, cost, scalability, model performance)Mentor senior engineers and influence engineering culture/org standardsPartner with product, data, and leadership on long-term technical strategy🧠 What We’re Looking ForProven track record building high-scale backend or platform systemsDeep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)Strong exposure to data systems/infra / Data / real-time architecturesExperience or strong interest in LLMs, GenAI, or AI system designExceptional system design, abstraction, and problem-solving abilityHigh ownership mindset — you think in terms of systems, not ticketsStrong 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 mindsetSolve hard system problems (latency, scale, reliability)Drive cross-team technical decisions and standardsMentor senior engineers and influence org-wide architecture Design large-scale distributed systems and backend platformsMentorship & Technical Leadership Expertise in system design, scalability, and performance optimizationNice 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 ApartBuilt 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 systems