sarvam

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. We partner with leading enterprises and public institutions, backed by prominent venture capital firms. Our model APIs, handling millions of daily calls, are crucial for developers and enterprises shipping products on our foundation models. Currently built with FastAPI and Python, we are undertaking a significant rewrite in Go. We are seeking a Staff Engineer to take end-to-end ownership of this critical platform, encompassing its architecture, reliability, performance, and standards.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. The On-Device AI team is developing solutions for enterprise and OEM deployments where data sovereignty, edge performance, and deep workflow integration are key. This role will own the go-to-market strategy for On-Device AI, driving growth, demand generation, and partner ecosystem development. You will work directly with enterprise accounts, OEM partners, and internal teams to build a repeatable GTM engine for on-device AI, aiming to make AI accessible across devices at minimal latency.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. The company partners with leading enterprises and public institutions. At the core of Sarvam's conversational AI platform is a system that enables customers to build, configure, deploy, and operate voice agents and campaigns at scale, currently handling over 50 million minutes of conversations monthly and experiencing rapid growth. We are seeking a Staff Engineer to take end-to-end ownership of this critical system, including its data model, APIs, orchestration, reliability, performance, and engineering standards. This is an individual contributor role focused on systems and technical excellence, without people management responsibilities.

Sarvam is building India's sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. This role specifically focuses on Sarvam's on-device AI product line, designed for enterprise deployments requiring data sovereignty, low latency, and offline reliability. The ideal candidate will have a deep understanding of enterprise AI, including IT admin personas, procurement cycles, and compliance needs, to ensure AI tools are effectively embedded into workflows. This is a platform-defining role where you will co-own the development of ambitious on-device AI solutions, working with silicon partners to turn research into production-grade optimizations for widespread Indian adoption.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. The MLOps Engineer will own the model lifecycle across all deployments, ensuring systems are always operational, accurate, and auditable. This role involves supporting field engineers and managing deployment infrastructure for new products, with an uncompromising standard for reliability, as model failures are considered operational risks.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. As a Strategic Deployment Engineer, you will be embedded with clients, owning the entire lifecycle of AI system deployments in complex and often constrained environments like air-gapped or on-premise settings. You will act as the primary technical point of contact for your assigned accounts, with success measured by system functionality, client trust, and durable capability creation, rather than just ticket closure. This role offers significant autonomy and accountability for the system, client relationship, and overall outcomes.

Sarvam is building the bedrock of Sovereign AI for India, developing a full-stack sovereign AI platform across research, models, infrastructure, and applications. The company partners with leading enterprises and public institutions, backed by prominent venture capital firms and collaborating with India's top brands. This role involves working across the full lifecycle of vision-language model (VLM) development, including data, training, evaluation, and production. We seek researchers who are comfortable with the evolving nature of the field and can take a leading role.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. We are seeking product managers who are builders at heart, constantly engaging with customers, shipping products to users, and understanding the intricacies of AI systems in production. This role offers the flexibility to work across various product lines, including consumer AI, enterprise platforms, developer tools, speech and voice systems, or edge deployments, depending on your strengths and interests.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. The company partners with leading enterprises and public institutions, backed by prominent investors. As the Partnerships & Alliances Lead (GSIs), you will be responsible for building and scaling partnerships with India-based and global GSIs operating in India. Your primary goal is to transform Sarvam's sovereign AI stack into repeatable GSI offerings and co-sell motions that generate measurable revenue in both Indian and global markets.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. We partner with leading enterprises and public institutions. We are seeking a Model Product Manager to lead initiatives for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and model evaluation pipelines. In this role, you will collaborate closely with research and engineering teams to define product roadmaps, manage training and evaluation processes, and deliver models that enhance product experience and reliability.

Embedded Infrastructure Engineers at Sarvam design, build, and maintain the data infrastructure essential for deploying AI systems at client sites. You will collaborate with Embedded Data Scientists and Strategic Deployment Engineers to ensure the reliable and performant ingestion, storage, querying, and serving of terabyte-scale datasets to AI reasoning engines. This involves constructing and managing data platforms capable of handling large volumes of structured records, documents, imagery, audio, and geospatial data, including databases, object stores, ingestion pipelines, and processing layers. You will be responsible for making key decisions regarding storage architecture, indexing strategies, pipeline orchestration, and system performance, often in challenging environments like air-gapped or operationally sensitive settings that preclude the use of standard cloud services or enterprise tooling. Ultimately, you will own the reliability and performance of the infrastructure layer for your assigned accounts.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. As an Embedded Data Scientist, you will be deployed alongside Strategic Deployment Engineers at client sites. Your primary role is to transform complex client data into structures that AI systems can reliably reason over. This involves working directly with client data environments, understanding and structuring heterogeneous, multimodal datasets (including documents, images, audio, geospatial data, and structured records), and designing the semantic structures that enable AI interpretation and reasoning. You will define data representation within AI systems, including document segmentation, metadata, entity relationships, and cross-modal connections, by designing ontologies, tagging systems, and knowledge graph structures. You will own the quality of the data layer, ensuring the system is built on a foundation for reliable, scaled reasoning, often working with sensitive datasets where standard tooling may be absent.

Sarvam is building India's full-stack sovereign AI platform, focusing on making AI genuinely work for India across research, models, infrastructure, and applications. This intellectually demanding role anchors the evaluations function for the AI vertical. You will design, build, and maintain evaluation frameworks to measure model and system quality in operational contexts, focusing on domain-specific, high-stakes use cases where accuracy is critical. You will collaborate closely with MLOps Engineers, Product Managers, and the deployment team to ensure deployed AI systems meet stringent quality standards.

Sarvam is building India's full-stack sovereign AI platform, focusing on research, models, infrastructure, and applications to make AI work for India. As a Backend Engineer, you will design and implement the core system infrastructure powering Sarvam's 'atoms', including MCP servers, on-prem deployment tooling, document ingestion pipelines, agentic backends, and API layers. These systems operate in constrained environments, and the architecture decisions you make will have a lasting impact. You will ship real systems and be accountable for their performance in the field.