Database Extract Transform and Load (ETL)unmatched
Database Technologyunmatched
Detail Orientedunmatched
Fundingunmatched
JavaScriptunmatched
Machine Learningunmatched
Modeling Languagesunmatched
Multiplatform/Cross-Platformunmatched
NoSQLunmatched
Product Planningunmatched
Python Programming/Scripting Languageunmatched
Quality Assuranceunmatched
React.jsunmatched
SQL Databasesunmatched
Sales Pipelineunmatched
Software Developmentunmatched
Software Engineeringunmatched
Startupunmatched
System Integration (SI)unmatched
Team Playerunmatched
Description
Software Engineer, Applied AI
Title of Role: Software Engineer, Applied AI
Location: San Francisco, CA, onsite
Company Stage of Funding: Series C — Software Development
Office Type: Onsite
Salary: $130K–$300K
Company Description
We're representing a dynamic company that is revolutionizing the hiring landscape through an AI-powered platform. This organization is harnessing the power of artificial intelligence to create smarter, faster, and more effective recruitment solutions, fundamentally changing how talent meets opportunity. They are on the cutting edge of AI and are seeking engineers who are eager to help shape the future of hiring technology.
What You Will Do
Design, build, and deploy full-stack features using React, Next.js, and Python for an AI-driven hiring platform.
Architect and manage both SQL and NoSQL database schemas to ensure scalability and data integrity.
Deploy and maintain large language models (LLMs) and other machine learning models in production, building evaluation pipelines for quality assurance.
Create and manage ETL pipelines and data orchestration workflows using Airflow or similar tools to support AI features and reporting needs.
Lead systems integrations across various platforms, including recruitment tools, payment systems, and data warehouses.
Collaborate with founders and cross-functional teams to define technical direction and rapidly execute high-impact initiatives.
Take ownership of features from architecture through to production deployment and continuous iteration.
Ideal Candidate Background
Proficient in React, Next.js, and Python with a history of delivering production-grade applications.
Hands-on experience designing schemas for both SQL and NoSQL databases.
Proven track record of deploying LLMs or other ML models into production, including robust evaluation and monitoring pipelines.
Familiarity with Airflow or comparable ETL orchestration tools in a production context.
Experience integrating complex systems, such as CRMs and recruitment platforms, into cohesive workflows.
Strong attention to detail and a genuine eagerness to learn and grow in a fast-paced environment.
Preferred
Previous experience in a startup or founding role, demonstrating resourcefulness and adaptability.
Background at a top-tier technology company, with exposure to high-scale engineering practices.
Compensation and Benefits
The salary for this role ranges from $130K to $300K, with visa sponsorship available for qualified candidates. This is an opportunity to work at the forefront of AI and machine learning in a high-growth environment, collaborating directly with founders and influencing the product roadmap.