Backend Engineer, Agent Collaboration Platform
hebbia-ai is seeking a skilled Backend Engineer to join our core engineering team and build out the architecture for our next-generation agent collaboration platform. This role involves designing robust APIs, managing complex state flows between autonomous agents, and ensuring high scalability as our user base grows. Key responsibilities include developing microservices using modern languages (like Go or Python), optimizing data models in cloud environments, and implementing secure communication channels between different AI entities. The ideal candidate has prior experience building multi-actor systems or distributed applications. You will collaborate closely with ML engineers to productionize agent logic into stable, enterprise-grade products, driving the core functionality of our platform from concept through deployment.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2100
Question set
150
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Backend Engineer, Agent Collaboration Platform?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Backend Engineer, Agent Collaboration Platform?
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 ashby 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 Backend Engineer, Agent Collaboration Platform 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, Agent Systems, Collaboration Platforms, Python/Go, Cloud Infrastructure.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.