Software Engineer, Agentic Infrastructure
Chariot is seeking a talented Software Engineer to join our core engineering team and build the foundational agentic infrastructure. This role is critical in advancing our platform's capabilities by designing, developing, and deploying robust, scalable systems for autonomous agents. You will be responsible for architecting components that manage complex workflows, state management across distributed services, and reliable communication protocols between various modules. Key responsibilities include writing clean, efficient code in Python, working with modern cloud infrastructure (GCP/AWS), and collaborating cross-functionally to ensure seamless integration of agentic patterns. Ideal candidates possess deep knowledge of distributed systems, message queues, and experience building highly available, fault-tolerant backend services that power next-generation automation.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1200
Question set
150
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: Python, Agent Frameworks, Distributed Systems, Cloud Infrastructure (GCP/AWS), Microservices.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.