Jobs at Sarvam AI

Engagement Principal in the Chanakya vertical at Sarvam AI. This senior client-facing role focuses on pipeline development, account strategy, and long-term engagement management within the defence and strategic sectors. The role involves converting complex AI capabilities into funded programs by engaging with command and technical leadership.

Product Manager for Model APIs at Sarvam, responsible for defining how developers and enterprises consume the company's AI models. This role bridges research and market, owning the API surface, pricing, packaging, and production readiness, while also influencing model roadmap direction by prioritizing capabilities and defining quality metrics.

Deployment Strategists at Sarvam AI own the entire customer engagement lifecycle, from initial proof of concept to live production systems. This role involves integrating AI systems into complex enterprise environments, managing programs, and ensuring successful outcomes for large institutions across India.

Data Scientist - Evaluations at Sarvam is responsible for designing, building, and maintaining evaluation frameworks to measure AI model and system quality in operational contexts. This role involves defining quality metrics, running evaluation cycles, identifying failure modes, and collaborating with MLOps Engineers to operationalize evaluation pipelines.

Performance Engineer, Inference at Sarvam is a senior role focused on optimizing the production serving path for large distributed LLMs. This involves deep integration and modification of serving runtimes like SGLang or vLLM, managing distributed systems for prefill-decode, and building custom speculators to meet latency and throughput targets.

The Strategic Deployment Engineer, Chanakya at Sarvam is responsible for the end-to-end deployment of Sarvam's full AI stack in client environments, including on-prem, air-gapped, and classified infrastructure. This role acts as the technical SPOC for assigned accounts, diagnosing and resolving integration failures and infrastructure breakdowns autonomously.

Senior Product Manager for Sarvam Studio, a media platform focused on AI dubbing, live translation, and content generation. This role requires deep understanding of the media and entertainment industry, including OTT, broadcast, and streaming platforms, to own the product roadmap and translate media workflows into product features.

Embedded Infrastructure Engineers design, build, and maintain data infrastructure for AI system deployments at client sites. They manage terabyte-scale datasets, including ingestion, storage, querying, and serving to AI reasoning engines, often in constrained environments without managed cloud services.

Sarvam is seeking a Staff Software Engineer - Frontend to tackle complex frontend challenges in building AI products at scale. This hands-on technical leadership role involves owning frontend architecture, solving problems related to real-time interactions and streaming data, and improving frontend performance and reliability.

ML Ops Engineer at Sarvam responsible for the end-to-end model lifecycle in strategic sector deployments. This includes designing and operating serving infrastructure, building CI/CD pipelines for model updates, monitoring production model performance, and managing containerized deployments in various environments.

Product Manager for Sarvam's on-device AI product line, focusing on enterprise deployments requiring data sovereignty, low latency, and offline reliability. This role involves owning the product roadmap, driving B2B go-to-market strategy, and collaborating with engineering, sales, and customer success to define enterprise-grade on-device AI solutions.

Senior Manager, Growth Marketing at Sarvam is an end-to-end growth role focused on acquiring, activating, and retaining users. The role involves building growth engines across various channels and optimizing the user funnel, measured by quality signups, API usage, retention, and revenue.

This role is a GTM Strategy position within Sarvam AI's Chanakya vertical, focused on national security and institutions of national importance. The role involves strategic decision-making, full-stack end-to-end deployment, and offers a path to leadership within emerging functions.

Sarvam AI is hiring a Senior Performance Engineer specializing in Kernels. This role involves authoring custom CUDA, DSL-based, and PTX kernels to optimize GPU performance for LLMs and other models, aiming to improve serving speed and cost-efficiency.

Product Manager (models) at Sarvam, focusing on Automatic Speech Recognition (ASR), Text-to-Speech (TTS), and model evaluation pipelines. Responsibilities include defining roadmaps, overseeing training and evaluation cycles, and ensuring model quality and deployment.

Technical Partner Enablement Manager at Sarvam. This is a hands-on engineering role focused on owning the engineering core of Sarvam Circle, which involves defining and managing partner engineer certification, setting quality standards, and ensuring partners can independently deliver engagements on Sarvam's stack.

Marketing Operations Manager at Sarvam AI responsible for the marketing engine. This role involves owning the martech stack, instrumenting the full funnel, building attribution models and reporting, and managing lead scoring and routing to ensure marketing is measurable and efficient.

Growth Marketing Intern at Sarvam AI. This role involves running marketing experiments end-to-end, including paid advertising on Google and Meta, organic content creation, and data analysis. The intern will own tests and analyze campaign performance to understand key metrics and identify areas for improvement.

Sarvam AI is seeking an Engagement Manager, Chanakya, a senior client-facing role responsible for pipeline development, account strategy, and managing client engagements. The role involves owning the day-to-day management of active client projects, serving as the primary client contact, and translating client problems into actionable briefs for engineering teams.

Frontend Engineer at Sarvam, building interfaces for India's sovereign AI platform. This role involves designing and building performant, production-grade frontend interfaces for demanding environments, including offline-first and low-bandwidth conditions. The engineer will own the frontend layer of product components and collaborate with backend engineers and product managers.

Agent Engineer at Sarvam, an AI company focused on India. This role involves engineering AI agents that are deployed in live production environments for large enterprises and government departments, handling millions of real interactions.

DevOps Engineer at Sarvam responsible for building and operating the infrastructure for autonomous agents. This involves managing Kubernetes clusters, CI/CD pipelines, cloud resources on AWS and Azure, and networking components to ensure reliable and scalable agent development and deployment.

Embedded Data Scientist at Sarvam transforms complex client data into structures that AI systems can reliably reason over. This involves working with heterogeneous, multimodal data and designing semantic structures, ontologies, tagging systems, and knowledge graphs to enable AI reasoning.

Solution Architect at Sarvam, a sovereign AI platform company. This role acts as a technical advisor to clients, bridging Sarvam's AI platform with client needs. Responsibilities include understanding prospect requirements, translating them into technical narratives, building demos, crafting proposals, and running pilots.

Staff Engineer, Product Infrastructure at Sarvam to own the end-to-end backend for agent, campaign, and user management. This role involves data modeling, API design, workflow orchestration with Temporal, and ensuring performance and reliability for a multi-tenant SaaS platform.