Senior Software Engineer, Agentic Infrastructure
Join the Careers Engineering team at Handshake to build the next generation of intelligent systems as a Senior Software Engineer. You will be instrumental in developing our 'Agentic Infrastructure,' which powers advanced, autonomous features within our platform. This challenging role requires expertise in building robust backend services for complex AI workflows, integrating Large Language Models (LLMs), and designing scalable infrastructure that supports agent-based interactions. Key responsibilities include defining the architectural patterns for multi-agent systems, optimizing prompt engineering pipelines, and ensuring system reliability at scale. The ideal candidate is a seasoned software engineer who thrives at the intersection of backend scalability and cutting-edge AI research, helping to push the boundaries of how career platforms operate.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2500
Question set
300
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Software Engineer, Agentic Infrastructure?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Software Engineer, Agentic Infrastructure?
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 handshake 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 Senior Software Engineer, Agentic Infrastructure 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 Engineering, Backend Development, Infrastructure Design, LLM Integration.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.