Description :

Were Building a Top 1% Engineering Org

Were 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 youd 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 :

Own 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 Youll Do :

- Architect large-scale distributed systems powering AI-driven workflows

- Lead 0-1 and 1-N platform builds (LLM integrations, agentic systems, orchestration layers)

- Redesign legacy systems into scalable, modular, AI-native architectures

- Drive 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 standards

- Partner with product, data, and leadership on long-term technical strategy

What Were Looking For :

- Proven track record building high-scale backend or platform systems

- Deep expertise in distributed systems, microservices, cloud (AWS/GCP/Azure)

- Strong exposure to data systems/infra / Data / real-time architectures

- Experience or strong interest in LLMs, GenAI, or AI system design

- Exceptional system design, abstraction, and problem-solving ability

- High ownership mindset you think in terms of systems, not tickets

- 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

- Solve hard system problems (latency, scale, reliability)

- Drive cross-team technical decisions and standards

- Mentor senior engineers and influence org-wide architecture

- Design large-scale distributed systems and backend platforms

- Mentorship & Technical Leadership

- Expertise in system design, scalability, and performance optimization

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 :

- 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 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.