Software Engineer, AI & Security
GleanWork is seeking a highly skilled Software Engineer to join our core development team, specializing in Artificial Intelligence and Cybersecurity. This role is critical to enhancing the foundational intelligence layer of our product. You will be responsible for designing, developing, and implementing high-performance, scalable features that process massive datasets and mitigate security vulnerabilities. Key responsibilities include building ML models for enhanced search relevance, hardening APIs against modern threats, and ensuring system reliability in distributed environments. Ideal candidates possess deep experience with Python, cloud infrastructure (AWS/GCP), and expertise in data privacy regulations. You must have a strong background in object-oriented programming and the ability to collaborate cross-functionally with product managers and security architects to deliver world-class AI products.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1500
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Software Engineer, AI & Security?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Software Engineer, AI & Security?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the greenhouse test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Software Engineer, AI & Security test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: AI/ML, Security Engineering, Python, Distributed Systems.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.