Software Engineer (AI)

TL;DR

Software Engineer (AI): Developing fundamental code conversion techniques and robust data migration pipelines for an AI-driven product, with an accent on fast, consistent code conversion and API design. Focus on building foundations for AI agents that process complete application migrations to hirify.global and iterating with FDE teams.

Location: Onsite in Menlo Park, California, USA

Salary: $160,000–$230,000

Company

hirify.global is a product company that redefined the data landscape by building the AI Data Cloud, empowering enterprises with industry-leading performance and price at scale.

What you will do

• Develop fundamental code conversion techniques, robust data migration, and validation pipelines.
• Build automatic testing components for AI-driven application migrations.
• Develop foundations for AI agents for fast and consistent code conversion.
• Design careful APIs for evolving AI capabilities.
• Iterate with the FDE team for quick feedback on prototypes and early products.

Requirements

• Strong software engineering experience in Python, with a focus on performance, reliability, and distributed systems.
• Hands-on experience building agentic AI applications (e.g., computer control, code generation).
• Track record of contributions to open-source agentic frameworks (e.g., LangChain, AutoGen).
• Deep understanding of distributed systems, API design, and backend architectures.
• High agency: ability to take ownership, navigate ambiguity, and independently push projects forward.

Nice to have

• Experience with GoLang for high-performance backend services.
• Strong understanding of big data transformation, ETL, and ELT pipelines.
• Proficiency in Spark, Airflow, dbt, Kafka, or other data engineering tools.
• Familiarity with streaming architectures, event-driven systems, and async processing.
• Experience optimizing large-scale data pipelines for performance and cost efficiency.
• Former founding engineers who have built and owned significant technical projects.

Culture & Benefits

• Culture focused on impact, innovation, and collaboration.
• Opportunity to build big, move fast, and take technology to the next level.
• Expected to follow company’s confidentiality and security standards for sensitive data.
• Focus on challenging ordinary thinking and pushing the pace of innovation.