Candidate.fyi
Full Stack / Backend Software Engineer
About this role
candidate.fyi is seeking a backend-focused full stack engineer to build AI-powered recruiting infrastructure including scheduling engines, autonomous agents, and ATS integrations. You'll work directly with the founding team on Python/Django services, own features end-to-end, and engage with enterprise customers to shape the product roadmap.
What you'll do
- Build and scale backend services in Python and Django for scheduling, coordination, and AI agent infrastructure
- Design autonomous agents that handle recruiting workflows with minimal human intervention
- Design and maintain APIs integrating with enterprise ATS systems and React frontend
- Ship LLM-powered features using AI coding tools like Cursor
- Optimize PostgreSQL database performance for complex scheduling logic
- Engage directly with customers to understand pain points and validate solutions
What they're looking for
- Python and Django (2–3 years required)
- PostgreSQL (query optimization, schema design, indexing)
- REST API design and integration patterns
- TypeScript and React
- AI coding tools (Cursor proficiency)
- LLM-powered workflows and agentic systems
- Product thinking and systems design
- Full stack development
Benefits
- Direct collaboration with founding team with no layers of management
- Customer engagement with companies like CoreWeave, Intercom, and Yelp
- Real ownership and rapid deployment to production
- Full health benefits
- Remote-friendly work arrangement
- Work on cutting-edge autonomous recruiting agents
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Candidate.fyi
Candidate.fyi builds AI-powered recruiting infrastructure that streamlines candidate scheduling, autonomous workflows, and applicant tracking system integrations. The company is hiring full stack engineers to develop backend services, own features end-to-end, and work directly with enterprise customers to shape product direction.
- Website
- candidate.fyi
Likely interview questions
- Walk us through a complex scheduling or coordination system you've built with Python and Django. How did you handle concurrency, race conditions, or state management?
- Tell us about your experience optimizing PostgreSQL queries. Give an example of a slow query you debugged and how you fixed it using indexing or schema changes.