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STAGE- Data Engineer / AI Engineer H/F

Ladders
Full-time
On-site
East New York, New York, United States
With over a million job listings and a mission to make the job search smarter, faster, and more effective, we leverage innovation to deliver exceptional customer experiences. From groundbreaking products like Apply4Me to pioneering AI-driven solutions, we’re obsessed with simplifying complexity and driving

results.If you’re passionate about building elegant solutions for intricate problems, eager to integrate AI into your day-to-day work, and committed to delivering results in a transparent, customer-obsessed, and simplicity-driven culture, let’s talk. Transform Data With AI

: Build systems that convert raw information into powerful tools in hiring with AI. Create Scale AI Products:

As the largest AI Resume writer, you’ll get the chance to produce AI products for paying customers on the largest stage. Help us transform users’ resumes to attract employer attention and generate interview requests. Apply AI Models

: Implement embedding techniques and prompt engineering to enhance how candidates appear to potential employers and vice versa. Create Data Pipelines

: Design efficient flows that process resumes and job market information through AI systems. Iterate on AI Approaches

: Test and refine different prompt structures and data transformations to maximize results. Practical AI Experience

: Hands-on work with embedding models, prompt design, and data transformations. Backend Development

: Strong technical foundation in building data processing systems. Efficiency Focus

: Ability to create high-performance pipelines that handle large volumes of resume data. Comfort working with evolving AI tools and approaches to data transformation. Experience using AI to solve real business challenges with measurable outcomes. Scale Experience

: Previous work with systems processing thousands of data points daily. Any modern, typed language: Python (3.10+), Golang, TypeScript, Rust - MySQL/MariaDB, OpenSearch (or ElasticSearch), Redshift AWS, K8s Designing systems with ease of repeatable testing and local-first development. We track how our AI experiments improve outcomes. Technical Simplicity

: We value straightforward solutions to complex data transformation challenges. AI Advancement

: We continuously evolve our AI capabilities to improve outcomes.