AI-powered talent acquisition platform for candidate sourcing and evaluation
Flipped.ai builds AI hiring software designed to automate candidate discovery, evaluation, and job posting across multiple boards. The tech stack—Python (scikit-learn, TensorFlow, PyTorch), SQL, Pandas, NumPy, Apache Spark—indicates a machine-learning-first approach to candidate matching and skill extraction. Active adoption of Azure Cognitive Search and pgvector signals a shift toward vector-based semantic search for candidate-to-job alignment, while the engineering-heavy hiring mix (17 of 20 open roles) and focus on agentic framework and RAG development suggest the product is evolving from templated automation toward conversational AI for hiring workflows.
Flipped.ai is a talent intelligence platform that helps organizations streamline hiring through generative AI. The product automates job description generation from titles, extracts skill requirements, runs pre-screening via AI-generated questions, and handles multi-board job posting. It also enables internal talent discovery by comparing internal candidate profiles against open roles. The platform targets hiring teams across organization sizes and experience levels—from first-time hiring managers to recruitment professionals. Based in New York with 11–50 employees, Flipped.ai is actively hiring in India, with a primary focus on engineering and data roles at senior and lead levels.
Python (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy), SQL, ServiceNow, AWS/Azure/GCP, Apache Spark, Kubernetes, Docker, and CI/CD platforms including GitHub Actions and GitLab CI/CD.
Agentic framework development, RAG and vector search (pgvector), cloud transformation (AKS cluster management), CI/CD pipeline design, and enterprise modernization projects including legacy AS400 system updates.
Other companies in the same industry, closest in size