Sarvam Platform Tech Lead
Sarvam
CTC
90L - 1.5Cr
Experience
6 - 8 yrs
Location
BLR
322 applications
Sarvam.ai is building foundational AI for India from India!
- Building India’s sovereign Large Language Models (LLMs) and AI infrastructure.
- Focused on multilingual AI systems for Indian languages and enterprise use cases.
- Empowering developers and enterprises with localized, culturally aligned AI.
You'll be a good fit if you have
- Deep experience in building distributed systems, compilers, formal systems, or kernels.
- Proven track record of architecting core primitives such as schedulers, execution engines, durable state management tools, and context monorepos.
- Experience building developer harnesses such as SDKs, evaluation frameworks, and observability/debugging tools.
- Strong background in constructing large-scale RAG, ETL, or ML pipelines with extreme performance and scalability requirements.
- Expertise in designing multi-agent system primitives that ensure reliability and prevent failures.
- Passion for solving frontier-scale engineering challenges where no reference implementations exist.
- Ability to mentor and guide systems and devtools engineers while enforcing coding standards and architectural rigor.
- Strong architectural experience with distributed infrastructure, runtimes, or compiler-like systems.
- Commitment to working in environments that demand precision, determinism, and clarity.
Key Responsibilities
- Architect and Lead Development of core platform primitives including schedulers, execution engines, durable state management, and context monorepos.
- Design and Scale Distributed Infrastructure with a focus on precision, determinism, and reliability.
- Build Developer Harnesses such as SDKs, evaluation frameworks, and observability/debugging tools to accelerate adoption and improve developer experience.
- Develop High-Performance Data Pipelines including RAG, ETL, and ML workflows with extreme performance and scalability requirements.
- Invent Multi-Agent System Primitives that ensure robust reliability and prevent cascading failures.
- Mentor and Guide Engineers across systems and devtools teams, enforcing coding standards and architectural rigor.
- Push Frontier Engineering Boundaries by solving novel challenges without reference implementations.
- Collaborate Across Teams to align platform architecture with product and research needs.
- Ensure Robust Observability and Debugging to maintain transparency, traceability, and resilience at scale.
- Drive Technical Strategy for distributed systems, runtimes, and compiler-like infrastructure powering next-generation agents.
In the news
You are pre-screened
Team Round1's take
- Selected by the Government of India under the IndiaAI Mission to develop sovereign large language models.
- Committed to open-sourcing its AI models for wider public and enterprise use.
- Combining deep AI research with large-scale Indian language datasets for culturally relevant intelligence.