Datacurve · 3 months ago
Software Engineer - Developer Experience
Datacurve is building a gamified developer platform where engineers create high-fidelity datasets for LLM advancements. The Software Engineer - Developer Experience will own the technical lifecycle of data pipelines, from defining new data formats to shipping the necessary tools and documentation for developer experience.
Artificial Intelligence (AI)Information TechnologyInternetSoftware Engineering
Responsibilities
Own projects end-to-end, from initial prototyping to ongoing maintenance, bug fixing, and iteration based on feedback
Own developer experience pipelines end‑to‑end: Prototype tooling for collecting new data formats → productionize workflow → iterate from developer experience
Champion DX: Create clear, concise guidelines and documentation to empower our data contributors and ensure high-quality inputs for your projects
Quality & governance: Develop and manage the quality standards for your projects, which includes training and aligning content reviewers to ensure data consistency and accuracy. Implement automated checks, eval harnesses, reviewer workflows, and data quality bars; be hands on and in the weeds to align with reviewers on standards
Maintain & iterate: Monitor, debug, and continuously improve reliability, latency, and contributor success rates
Define Frontier data formats: Co‑author specs/RFCs with frontier lab researchers; design schemas, metadata, and versioning for new task/trajectory formats
Build developer tooling & environments: Ship tooling, sandboxes, CLIs/SDKs, and capture/instrumentation to make contribution flows fast and safe
Qualification
Required
Excellent written communication skills, with a proven ability to explain complex concepts to a less technical audience
An organized and process-oriented mindset – you enjoy bringing structure to ambiguous problems and are meticulous about quality
Foundational full-stack skills, with experience in React and at least one modern backend language (e.g., Python, Node.js, Go)
Strong technical judgment and a pragmatic mindset – you know how to balance speed with quality, recognizing the need for a scrappy solution versus when to invest in a robust architecture
A deep resourcefulness with AI – you are highly adept at prompt engineering and using AI tools to find the fastest path to a solution
Preferred
Experience designing or running evaluations for LLM outputs to measure and track quality, accuracy, or other performance metrics
Familiarity with building tools for other developers, such as CLIs, SDKs, or internal dashboards
Experience with cloud infrastructure (AWS), Docker, and CI/CD pipelines
Company
Datacurve
Datacurve specializes in high-volume data production and aims to redefine AI capabilities through premium training data for coding tasks
Funding
Current Stage
Early StageTotal Funding
$18.2MKey Investors
ChemistryBalaji SrinivasanY Combinator
2025-10-09Series A· $15M
2025-04-01Seed· $2.7M
2024-03-01Pre Seed· $0.5M
Recent News
2025-11-10
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