About the role
About Deccan AI Deccan AI is a GenAI data company that runs the post-training and production layer for the world's leading AI labs and enterprises — from expert feedback and RL environments to managed AI workforces and evaluation infrastructure. Backed by A91 Partners, SIG (Susquehanna International Group), and Prosus Ventures, and having grown 10x last year, Deccan works with a majority of the Magnificent 7 and the top frontier labs globally. Its global network of 1 million+ domain experts powers Helix, its hybrid eval suite, and EnterpriseOS, its scaled ops automation platform. Headquartered in Mountain View, CA.
What You'll Do
- Build and productionize LLM, RAG and Agentic AI systems.
- Develop scalable ML/MLOps pipelines for deployment, evaluation and monitoring.
- Work with LLMs, vector databases, embeddings, retrieval, reranking and agent frameworks.
- Build and optimize AI services using Python and modern ML/engineering tools.
- Collaborate with ML, research and engineering teams to take AI systems from prototype to production.
- 2–4 years of hands-on ML/AI engineering experience.
- Strong Python and software engineering fundamentals.
- Experience with RAG, Agentic AI, MLOps, LLM applications or ML infrastructure.
- Exposure to tools such as LangChain/LangGraph, vector DBs, Docker/Kubernetes, MLflow/W&B or similar.
- Strong problem-solving mindset and ownership.