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About the role
48 years of experience in software engineering, AI/ML engineering, or full-stack development, with hands-on ownership of building and deploying production-grade applications or platforms. 4+ years of focused experience building and deploying AI-centric systems. 2+ years of hands-on experience with LLM-based agents, autonomous workflows, or multi-agent orchestration. Strong full-stack engineering experience, with deep expertise in Python and familiarity with TypeScript or Node.js . Hands-on experience with AI orchestration frameworks such as LangGraph, LlamaIndex Workflows, or similar tools. Solid understanding of Retrieval-Augmented Generation (RAG), including hybrid search, re-ranking, and advanced retrieval techniques. Experience implementing observability and tracing for AI systems (e.g., LangSmith, LangFuse, Arize Phoenix). Production experience with modern ML tooling and frameworks (for example: PyTorch, Transformers, scikit-learn). .
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