Software Engineering Intern, Summer 2026
About The Role
Join Jobfair®’s product organization as a Full Stack Software Engineering Intern this summer. Your focus will be building and shipping an AI-powered employer workflow that turns unstructured candidate info (resumes, job descriptions, and pre-interview audio responses) into clear, searchable, decision-ready signals inside the Jobfair dashboard.
You’ll work closely with senior engineers and product partners to design, build, and iterate on end-to-end features—spanning React UI, Django/REST APIs, background processing, and data storage. This work can drive meaningful impact across candidate discovery, employer workflows, product personalization, and growth.
This opportunity requires close collaboration with Product, Data Engineering, and Operations, and will build your skills in system design, product thinking, and stakeholder communication.
What You Will Do
- Build end-to-end product features across the stack (React, APIs, database) that improve how employers review and compare candidates
- Design and implement backend endpoints and data models to support new workflow capabilities (search, filtering, saved views, notes, etc.)
- Integrate LLM-powered extraction/summarization where helpful, with a focus on reliability, latency, and cost
- Build background jobs and pipelines for processing uploads and generating derived data (e.g., transcripts, summaries, metadata)
- Improve observability and quality: logging, error handling, performance profiling, and basic analytics to measure impact
Required Qualifications & Skills
- Exceptional curiosity and a drive to learn new tools and ship real product
- Strong ability to collaborate with teammates and communicate clearly in a fast-moving environment
- Solid programming skills in JavaScript/TypeScript and at least one backend language (Python preferred)
- Familiarity with web fundamentals: HTTP, REST APIs, authentication, and relational databases
- Hands-on experience building UI (React) and connecting it to backend services
- Preferred Qualifications & Skills
- Experience with Django/DRF, background jobs (Celery/Redis), and/or AWS (S3 or similar)
- Experience integrating or evaluating LLM APIs in production-like apps (prompting, retries, structured output, guardrails)
- Comfort working with product data: basic search, filtering, pagination, and performance considerations
Education
Currently enrolled as an undergraduate or graduate level student pursuing a graduate degree in Computer Science, Data Science, Engineering, Statistics, Economics, Mathematics or related field.
Eligibility Requirements & Program Information
Candidates for this opportunity MUST meet all the requirements below:
- Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program
- Be at least 18 years of age
- Possess unrestricted work authorization
Additional Information
The approximate dates of this position are May/June 2026 through August/September 2026
- Must be fully available from Monday–Friday for the duration of the position, 40 hours per week