Deccan AI supplies evaluation, benchmark and training-data services to AI labs and enterprises, backed by an ML-native stack of PyTorch, Hugging Face Transformers, LangChain/LangGraph and FastAPI on AWS. Job posts point to two parallel builds: extending RL training infrastructure toward end-to-end agentic pipelines, and an internal GTM engine with enrichment, dedup and signal-based prospecting. Hiring is accelerating and concentrated in India, led by engineering with a notable sales component.
Notable leadership hires: People & Culture Lead
Deccan AI is a privately held company headquartered in Mountain View, California, with 51–200 employees. It works with frontier AI labs and enterprises on mid- and post-training work, including evaluations, benchmarks and custom datasets across agentic, coding, multimodal, alignment and robotics domains. Its product suite includes STARK for RL environments and agentic benchmarks, Helix for evaluating and monitoring AI agents in production, and EnterpriseOS for human-in-the-loop enterprise workflows. Delivery draws on a large network of domain experts, and current hiring is centered in India across engineering, sales, marketing, design, finance and HR.
Deccan AI uses Python, PyTorch, Hugging Face Transformers, LangChain and LangGraph, FastAPI and Docker on AWS, with React, TypeScript and GraphQL on the frontend, plus Snowflake, Power BI and Tableau for data.
Deccan AI's open roles are in India, with hiring accelerating across engineering, sales, marketing, design, finance and HR, including a People & Culture Lead position.
Current initiatives include deploying its Helix agent-evaluation platform, extending its RL training stack for end-to-end agentic pipelines, productionizing LLM, RAG and agentic systems, and building signal-based prospecting tools.
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Deccan AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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