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Sarvam AI

Posted 17 Apr · 40 open roles

Embedded Infrastructure Engineer, Chanakya

DelhionsiteApply by 29 Oct 2026

Undisclosed
Salary
4–8 yrs
Experience
Full time
Job type

About the role

Embedded Infrastructure Engineers design, build, and maintain the data infrastructure that underpins AI system deployments at client sites. You work alongside Embedded Data Scientists and Strategic Deployment Engineers to ensure that terabyte-scale datasets can be ingested, stored, queried, and served to AI reasoning engines reliably and performantly.

This means building and operating data platforms that handle terabyte-scale persistent data stores and sustained large daily ingestion volumes across structured records, documents, imagery, audio, and geospatial data. You will design and maintain the databases, object stores, ingestion pipelines, and processing layers that make this possible.

Full details and the application are on Sarvam AI's careers site.

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Sarvam AI

40 open roles

Company profile, reviews and salaries

What tech interviews usually cover

Common rounds for engineering roles. Every company runs its own process.

  1. Round 1

    Fundamentals

    Coding, data structures and problem solving, usually 45–60 minutes.

  2. Round 2

    Design and depth

    System or component design, plus the tools named in the posting.

  3. Round 3

    Team fit

    Past projects, how you work with others, and the offer conversation.

The Sarvam AI name and trademarks belong to Sarvam AI. This listing summarises Sarvam AI's public job posting on Sarvam AI careers, and applications go directly to Sarvam AI. Jobsearchers is an independent job platform and is not affiliated with or endorsed by Sarvam AI; always check the details on the original posting. Report a problem.