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Role: Backend Engineer (Python + Fullstack)
Function: Backend Engineering
Location: Bangalore
Type: Full-time
Industry: Consumer AI
About Company
The company is building the AI layer for Bharat at India-scale. Backed by partnerships with global tech leaders like Meta and Google, it serves the entire Indian user base—across languages, contexts, and daily needs.
The platform is engineered from day one for 100M+ users and 1B-ready constraints on latency, cost, reliability, and safety. The company combines deep India-first AI capability with unmatched India-scale distribution.
The culture emphasises engineering excellence, high autonomy, and tangible impact across sectors that matter to India.
Position Overview
The company is looking for a Backend Engineer with deep Python or Go expertise to build and own mission-critical microservices that power its consumer AI platform. You will design scalable, high-availability systems handling massive traffic at India scale. This role spans L4 (senior IC owning complex service systems) and involves end-to-end ownership from architecture through to production operations.
Role & Responsibilities
Must Have Criteria
Nice to Have
What We Offer
Job ID: 149072763
Skills:
Java, Serverless Computing, Spring Boot, Kotlin, Django, Terraform, Ansible, Flask, Python, Kubernetes, AWS, Event-driven systems, NoSQL databases, Microservices architecture, AI LLM Engineering
Skills:
Exception Handling, Apis, Microservices, FastAPI, Python, Document classification, Data lineage tracking, Audit trails, Observability frameworks, OCR technologies, AI-driven document processing systems, Asynchronous processing pipelines, Document taxonomy
Skills:
Python, Ruby, Kafka, Elastic Search, Nosql
Skills:
orm tools , Java, PostgreSQL, Node.js, Typescript, Gcp, MySQL, Azure, Python, AWS, protobuf, Go, gRPC APIs, OpenAPI
Skills:
Aws Services, Distributed Systems, Apis, MySQL, MongoDB, Python, Cloud-native Architecture, Voice Models, Backend Systems, LLMs, Agent Orchestration, Relational Databases, MCP Servers, NoSQL Databases
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