Software Engineer, Agentic Infrastructure
Chariot is hiring a Software Engineer to spearhead development within our complex agent infrastructure. This pivotal role involves designing and implementing the core components that power our AI-driven automation platform. You will be responsible for building highly scalable microservices, managing asynchronous workflows, and ensuring system reliability across distributed environments. Key contributions include developing specialized tools for monitoring agent behavior, integrating advanced communication patterns (e.g., message queues), and optimizing data pipelines for performance. Proficiency in modern backend languages (like Python) and a strong grasp of architectural patterns necessary for building large-scale, fault-tolerant systems are essential. Join us to shape the future of intelligent automation.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1850
Question set
200
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Software Engineer, Agentic Infrastructure?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for 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 Chariot 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, 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: Backend Development, Python, Agent Systems, Cloud Computing, System Design.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.