DevOps Engineer | SDE - 1 | SDE  - 2

Preferable Location(s):
Pune, India | Mumbai, India | Chennai, India | Delhi, India | Hyderabad, India
Work Type:
 Full Time
Salary Range:
 $65K - $70K  

Role: Principal AI Architect

Function: Engineering - AI/ML

Location: Navi Mumbai, Maharashtra

Type: Full-time

Compensation: Competitive compensation package with significant equity upside potential

Industry: AI/ML, Consumer Technology, Platform Engineering

About Company

The company is building the AI layer for India at massive scale. Backed by partnerships with global tech leaders like Meta and Google.

The team creates AI that serves the entire Indian user base across languages and contexts. This is AI designed for real adoption, not experiments.

The company brings deep India-first AI capability with unmatched India-scale distribution.

Position Overview

You will define the technical architecture for a Core Intelligence platform serving 100M+ users across India. You'll architect the systems that power India's next-generation consumer AI experience at unprecedented scale. You'll lead multiple engineering teams of 15-25 engineers building AI infrastructure, model orchestration, and vector knowledge systems. This role offers direct ownership of platform decisions that impact millions of users daily.

Role & Responsibilities

  • Define and drive technical architecture for multi-modal AI platform serving 100M+ users
  • Lead architecture decisions for model routing, orchestration, and agent-to-agent coordination systems
  • Design scalable vector knowledge systems and RAG pipelines for multilingual Indian contexts
  • Establish engineering standards and best practices across AI infrastructure and platform teams
  • Drive technical strategy for partner integrations enabling end-to-end workflow completion
  • Lead cross-functional teams of 15-25 engineers across AI infrastructure and platform domains
  • Architect observability, evaluation, and safety systems for production AI at India-scale

Must Have Criteria

  • 12+ years of experience in distributed systems and platform engineering at scale
  • Deep expertise with LangChain/LlamaIndex frameworks for AI application development
  • Production experience with vector databases (Pinecone, Weaviate, or Chroma) for RAG architectures
  • Strong experience with AWS, Azure, and Kubernetes orchestration in cloud-native environments
  • Proven track record leading technical teams of 10+ engineers in platform/infrastructure roles
  • Experience architecting systems handling 10M+ daily active users or equivalent scale
  • Hands-on experience with AI model serving, routing, and orchestration in production environments

Nice to Have

  • Experience building consumer AI products or conversational AI platforms
  • Background in multi-modal AI systems (text, voice, vision) and multilingual NLP
  • Previous experience at high-growth startups or companies serving Indian market at scale
  • Open source contributions to AI/ML infrastructure or orchestration frameworks
  • Experience with AI safety, evaluation frameworks, and production ML monitoring

What We Offer

  • Opportunity to architect AI systems for 100M+ users across India
  • Leadership role in building India's first comprehensive consumer AI platform
  • Direct partnership opportunities with global tech leaders like Meta and Google
  • High-ownership environment with fast iteration cycles and direct impact visibility
  • Competitive compensation package with significant equity upside potential

FAQs

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