
Artificial Intelligence • Finance • SaaS
Genios AI is an AI-powered SaaS platform that automates financial analysis and pitch-deck creation, turning weeks of spreadsheet work into minute-long outputs. Trained on successful deal books, it assembles comps, TAM visuals, and executive-ready narratives so finance teams can accelerate deal execution and reduce manual formatting. The company emphasizes automation, citizen enablement, and an agentic backend for intelligent financial workflows.
November 25

Artificial Intelligence • Finance • SaaS
Genios AI is an AI-powered SaaS platform that automates financial analysis and pitch-deck creation, turning weeks of spreadsheet work into minute-long outputs. Trained on successful deal books, it assembles comps, TAM visuals, and executive-ready narratives so finance teams can accelerate deal execution and reduce manual formatting. The company emphasizes automation, citizen enablement, and an agentic backend for intelligent financial workflows.
• You will be responsible for developing our core data platform. • This includes building scalable data ingestion connectors/pipelines, developing efficient APIs and ensuring the robustness and security of data and cloud based infrastructure. • You will build the large scale infrastructure that powers up crawling, ranking and retrieval systems.
• 4+ years of experience as a software engineer, with a focus on data platforms or infrastructure. • Expertise in Python and SQL • Mastery of distributed systems and proficiency in NoSQL and SQL tools. • Proven experience deploying and managing mission-critical ETL pipelines with diverse and large-scale data sources. • Experience with orchestration frameworks like Airflow • Proficiency in AWS or other cloud environments, with practical knowledge of their services. • Demonstrated ability to design and monitor secure and scalable systems, especially in production-grade environments. • Experience with containerization (Docker) and orchestration (Kubernetes) to streamline deployments. • Familiarity with LLMs and their potential applications
Apply NowNovember 24
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