Software Engineering Intern (AI)

TL;DR

Software Engineering Intern (AI): Shipping production security detections against hirify.global's real log data with an accent on LLM-based classifiers for sensitive data exposure and identity/access pattern detection. Focus on using AI tools to learn log schemas, reason through threat models, and accelerate code development.

Location: Requires presence in the San Francisco office 4 days per week.

Salary: $47 – $63 per hour

Company

hirify.global is a leader in AI cloud infrastructure serving tens of thousands of customers, ranging from AI researchers to enterprises and hyperscalers.

What you will do

• Ship real production detections against hirify.global's real log data, chosen with your mentor from a menu of high-value security gaps.
• Use frontier LLMs as your primary partner for learning unfamiliar codebases, reading log schemas, and reasoning through threat models.
• Build LLM-powered classifiers and rule-based detections that turn raw log data into actionable alerts for the Security team.
• Work closely with your mentor in code reviews and threat hunting, and self-direct between them, using AI tools to investigate and sharpen your questions before bringing them to a human.
• Document what you build clearly enough that the on-call engineer who responds to your alert at 2am understands what it means and what to do.
• Present your work at the end of the summer to the security team and company leadership, walking through what you shipped, what you learned, and what you'd build next.

Requirements

• Currently enrolled in a Bachelor's or Master's program in Computer Science or a related field, returning to school after the summer.
• Independent technical projects you've shipped: side projects, open source contributions, hackathons, research code, anything where you scoped a problem and built a working solution.
• Fluency writing code in at least one general-purpose language (Go or Python preferred).
• Comfort using frontier LLMs as a coding partner.
• Ability to take a fuzzy problem and turn it into a scoped, shippable piece of work.
• Curiosity about how systems get attacked and defended, even if you've never formally studied security.
• Strong written communication.

Nice to have

• Prior software engineering internship.
• Familiarity with cloud infrastructure (AWS, GCP, or similar), command-line environments, or systems-level programming.
• You’ve built something with AI assistance that pushed beyond what you could have done alone.
• Experience working with log data, structured event data, or building anything that processes streams of records.
• Prior exposure to security concepts or coursework/projects involving machine learning, data classification, or applied AI.

Culture & Benefits

• Generous cash & equity compensation.
• Health, dental, and vision coverage for you and your dependents.
• Wellness and commuter stipends for select roles.
• 401k Plan with 2% company match (USA employees).
• Flexible paid time off plan that we all actually use.