Role Overview We are looking for a Senior Infrastructure Developer with 10+ years of experience to own, evolve, and scale the platform that powers our most demanding ML training workloads. This is not a keep the
Engineering Manager WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants
Computer Scientist Location: Noida Experience: 6–9 Years Team: AI Platform Engineering Role Overview We are looking for an experienced Infrastructure Developer (6–9 years) to help design, build, and scale the platform that powers our most demanding
More than a mission, C2FO is a better financial system changing the way every business gains access to the working capital they need to thrive. At C2FO, everyone is an employee-owner which means we’re all invested
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
As the founding backend engineer, you will architect and build the platform engine that powers deployments across AWS, GCP, and Azure for our customers. You’ll design scalable systems that automate environment provisioning, orchestration, and runtime reliability.
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
ABOUT THE ROLE: The TDDs multi-modal expertise capture pipeline and Graph RAG branch of the Hybrid architecture require a dedicated data engineer who builds and operates the document ingestion pipeline, chunking engine, vector database indexing, retrieval/re-ranking
70% precision - Has implemented a golden dataset or ML evaluation dataset management system with versioning and lineage - Has built multi-format document ingestion pipelines processing 10 K+ documents reliably - Has implemented physical data separation
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on