373 ruby opportunities in Delhi updated today
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· Page 5 / 19Job Title: Ruby Backend Developer – Distributed Systems Location: 100% remote India Duration: 12 months with longer extension Fulltime contract (8 hours per day/40 hours per week) Working time zone: USA 9 AM to 4 PM PST mandatory Roles and Responsibilities Re-design, modify, and scale distributed ba
We are onboarding a Senior Technical Leader with strong enterprise experience to elevate engineering quality across our React and Ruby on Rails ecosystem. This is not a single-project role —you will function as a Quality Architect , driving consistency, scalability, and best practices across multipl
We are onboarding a Senior Technical Leader with strong enterprise experience to elevate engineering quality across our React and Ruby on Rails ecosystem. This is not a single-project role —you will function as a Quality Architect , driving consistency, scalability, and best practices across multipl
Job Title: Ruby Backend Developer – Distributed Systems Location: 100% remote India Duration: 12 months with longer extension Fulltime contract (8 hours per day/40 hours per week) Working time zone: USA 9 AM to 4 PM PST mandatory Roles and Responsibilities Re-design, modify, and scale distributed ba
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 public repository histories in a synthetic approach with human-in-the-loop; whil
Job Title: Ruby Backend Developer – Distributed Systems Location: 100% remote India Duration: 12 months with longer extension Fulltime contract (8 hours per day/40 hours per week) Working time zone: USA 9 AM to 4 PM PST mandatory Roles and Responsibilities Re-design, modify, and scale distributed ba
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
We are onboarding a Senior Technical Leader with strong enterprise experience to elevate engineering quality across our React and Ruby on Rails ecosystem. This is not a single-project role —you will function as a Quality Architect , driving consistency, scalability, and best practices across multipl
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
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 public repository histories in a synthetic approach with human-in-the-loop; whil
₹5,40,000 – ₹8,60,000/year
Estimation confidence: Low
Estimate based on market data for Delhi. Actual salaries may vary depending on experience, company, and area.
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