Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Architecting and evolving a world-class data platform for HR technology with an accent on scalable ETL pipelines, data modelling, and enabling advanced AI applications. Focus on pioneering AI-first development practices, leveraging proprietary LLMs, and driving self-service data empowerment.

Company

hirify.global is a leading transformational AI platform in the HR technology industry, enabling enterprise companies to make better and fairer talent decisions.

What you will do

• Architect, design, and evolve a world-class data platform using state-of-the-art technologies and tools.
• Lead the design and implementation of scalable, high-performance ETL data pipelines and storage solutions.
• Develop and maintain the end-to-end analytics and semantic layer to drive business intelligence and AI applications.
• Develop and manage high-quality data products to empower other teams with reliable insights.
• Mentor data and software engineers, setting best practices for coding, data modelling, and pipeline design.
• Champion modern, high-velocity development practices and influence key business and technical decisions for the data platform.

Requirements

• Experience with dbt for data transformations and various data storage solutions (SQL/NoSQL).
• Proficiency in back-end engineering with NodeJS, Python, Java, or C#.
• Strong experience with data pipelines, data modeling (SQL), and monitoring/alerting systems.
• Experience with Infrastructure as Code (Terraform) and containerization (Docker, Kubernetes).
• Excellent communication skills to advocate technical solutions to various audiences.
• Strong Systems Design ability to create scalable and adaptable solutions for complex problems.

Culture & Benefits

• Work in a company that values trust, empathy, and honesty.
• Contribute to an inclusive culture dedicated to diversity, equality, and inclusion.
• Help companies hire and redeploy over a million people annually.
• Opportunity to deepen native integrations with major platforms like SAP, Workday, Microsoft, and LinkedIn.
• Advance the use of proprietary LLMs and knowledge graph technology to unlock broader talent pools.