Backend Engineer – API Team at Sarvam.ai (Bengaluru): Role, Skills, Salary & Career Growth


Table of Contents

  1. Overview
  2. About Sarvam.ai
  3. Job Summary
  4. Key Responsibilities
  5. Required Skills
  6. Good-to-Have Skills
  7. Work Environment
  8. Salary Range (Estimated)
  9. Why Join Sarvam.ai?
  10. Conclusion

Overview

Sarvam.ai is hiring Backend Engineers for its API team in Bengaluru. This is a full-time on-site engineering role focused on building low-latency, distributed systems for AI model serving. The position is ideal for engineers who want to work on high-performance backend infrastructure powering speech, language, and vision models at scale.

About Sarvam.ai

Sarvam.ai is a leading generative AI startup with a mission to make AI accessible for Bharat. The company designs cost-efficient, high-performance AI systems optimised for Indian languages and enterprise needs. 

They specialise in:

The organisation operates with a mix of research-driven innovation and practical engineering for real-world scale.

Job Summary

As a Backend Engineer in the API team, you will be responsible for exposing and managing a suite of ML models via high-performance APIs. These systems must be low-latency, fault-tolerant, secure, and cloud-neutral, capable of handling millions of requests across Azure, AWS, GCP and on-prem infrastructures. The role is a blend of backend engineering, distributed systems, infrastructure automation and real-time data processing.

Key Responsibilities

Hey, 

Backend Development

System Architecture

  • An architect designed distributed, fault-tolerant and low-latency systems for real-time model inference. 
  • Do authentication, rate limiting, throttling, and secure coding standards. 

Data & Storage

Event & Streaming Systems

Infrastructure & CI/CD

  • Collaborate on canary deployments, feature rollouts and automated release pipelines.  
  • Deploy services across Azure, AWS, GCP and hybrid environments. 

Reliability & Observability

  • Ensure systems are observable, resilient and cloud-agnostic, using modern monitoring and logging tools.

Required Skills

Candidates must have:
  • Strong Python programming skills. 
  • Experience with FastAPI, Django or Flask. 
  • Deep understanding of HTTP, WebSockets and gRPC.  
  • Proven experience building distributed backend systems. 
  • Hands-on skills with PostgreSQL, Redis, ClickHouse or similar tools. 
  • Knowledge of Kafka or Redis Streams. 
  • Strong fundamentals in API security, authentication and authorisation. 
  • Experience with Docker, Kubernetes and CI/CD pipelines
  • Familiarity with at least one cloud provider (Azure preferred). 
  • A focus on secure coding and system reliability.

Good-to-Have Skills

  • Now, Experience with canary deployments or feature flagging. 
  • Exposure to ML inference pipelines or AI model-serving platforms.  
  • Knowledge of Prometheus, Grafana or OpenTelemetry
  • Contributions to open-source backend projects or a strong GitHub presence.

Work Environment

  • Location: Bengaluru, Karnataka
  • Work Mode: Hybrid / On-site
  • Department: Engineering – API Team
  • Job Type: Full-time
Engineers work closely with ML teams, DevOps professionals and platform engineers to build scalable AI infrastructure.




Salary Range (Estimated)

Note: Sarvam.ai has not disclosed an official salary range. Based on Bengaluru backend engineering market standards:

Experience Level Estimated Annual Salary (INR)
1–3 years                                             ₹12–20 LPA
3–6 years ₹20–35 LPA
6+ years ₹35–55 LPA

Actual compensation may vary depending on experience, skills and negotiation.

Why Join Sarvam.ai?

  • Opportunity to build India’s leading generative AI infrastructure.  
  • Work on systems serving millions of real-time requests. 
  • Exposure to cutting-edge ML model serving technologies.  
  • Cloud-agnostic engineering environment
  • Strong focus on innovation, performance and reliability.

👉Apply Now

Conclusion

The Backend Engineer   API Team role at Sarvam.ai is an excellent opportunity for engineers passionate about building high-performance backend systems for large-scale AI applications.  
If you are skilled in Python, distributed systems and cloud-native infrastructure, this position offers a challenging and rewarding career path.

Post a Comment

0 Comments