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- Sarvam AI
- Forward Deployed Software Engineer
Forward Deployed Software Engineer
AI Infrastructure
Agentic Frameworks
About the Role
Sarvam AI is building India's full-stack sovereign AI platform across speech, text, translation, and conversational agents. As a Forward Deployed Software Engineer (2-5 years), you deploy Sarvam's AI agents into client and partner production environments end-to-end.
Responsibilities:
- Build, deploy, monitor, and evaluate conversational AI agents across channels — Voice, WhatsApp, website.
- Own end-to-end deployment of Sarvam's dubbing and live translation APIs into client and partner production.
- Scope and design end-to-end technical solutions for client requirements, translating business needs into production-ready architectures.
- Build MCP (Model Context Protocol) servers and agentic backend infrastructure that power Sarvam's AI agents.
- Design and maintain data pipelines using messaging systems like Kafka, SQS, or RabbitMQ.
Requirements:
- Python fluency across the full stack.
- Deep understanding of how LLMs and agents work — context windows, tokens, embeddings, RAG, tool calling.
- Experience designing and implementing multi-agent architectures, including memory management.
- Ability to set up eval pipelines and define meaningful quality metrics for agentic AI systems.
- Familiarity with LangChain, LlamaIndex, CrewAI, LangGraph; Kafka/SQS/RabbitMQ; SQL/NoSQL; voice/speech models (TTS, STT, ASR).
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