Founding Engineer: Agent Infrastructure
Clera is seeking a pioneering Founding Engineer to establish the core infrastructure for our next-generation agent platform. This role is critical to scaling our autonomous agent capabilities from concept to enterprise reality. You will be responsible for architecting, building, and deploying robust, scalable backend systems that power our agents' intelligence and interactions. Key responsibilities include designing microservices architecture, implementing complex state management, integrating advanced AI models (LLMs), and establishing best practices for cloud infrastructure (AWS/GCP). Ideal candidates possess deep experience in distributed systems, a strong background in Python or Go, and a passion for transforming cutting-edge AI research into reliable, production-grade software. This is a high-impact, ownership role perfect for a hands-on builder ready to define the technical roadmap of a fast-growing tech leader.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1800
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Founding Engineer: Agent Infrastructure?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Founding Engineer: Agent 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 Clera 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 Founding Engineer: Agent 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: Agent Infrastructure, Backend Development, System Design, Python, AI/ML.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.