AI-powered tech recruitment platform for scaling engineering teams
Geektrust operates a recruitment platform that uses AI and human expertise to identify engineering talent. The stack reveals a data-intensive operation: Python + FastAPI backend, React frontend, PostgreSQL and ClickHouse for analytics, plus heavy ML tooling (CrewAI, LangChain, AutoGen, PySpark, Databricks). The hiring mix is engineering and data heavy with senior-level roles, and they're actively containerizing with Docker and Kubernetes — suggesting infrastructure scaling to support platform growth is a priority.
Geektrust is a tech recruitment platform founded in 2015, based in Bangalore and serving the Indian market. The company reimagines hiring by combining AI-driven screening with human judgment to identify engineers, product specialists, and problem-solvers who don't fit traditional credential-based filters. The platform handles candidate assessment, ranking, and matching workflows across a multi-tenant SaaS architecture. Their internal pain points center on scaling engineering teams and data pipelines while optimizing performance across growing candidate volumes.
Backend: Python, FastAPI. Frontend: React, Next.js, React Native. Data: PostgreSQL, ClickHouse, MySQL, Snowflake, PySpark, Databricks. Cloud: AWS, GCP, Azure. ML/AI: CrewAI, LangChain, AutoGen. Orchestration: Apache Airflow, Kubernetes.
Current projects include: scalable ETL/ELT for ERPs and CRMs, pipeline optimization, energy value chain AI/ML models, GenAI architecture governance, cloud-native AI systems on GCP, and .NET Core microservices with React UIs on Azure AKS.
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