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brainco

AI Platform Engineer, Backend Capabilities

We are seeking a skilled Backend Engineer to augment our core AI platform capabilities. This role involves designing and implementing robust, scalable APIs that serve as the backbone for our intelligent features. You will work extensively with modern backend frameworks and cloud services, ensuring low latency and high throughput for real-time model inference requests. Responsibilities include writing clean, testable code, owning service lifecycles from development through deployment, and optimizing data flow between microservices. Collaboration across engineering teams is key to delivering a seamless user experience powered by cutting-edge AI. Candidates should possess strong expertise in backend languages (e.g., Python or Go) and proven experience building production-grade, distributed systems.

brainco San Francisco Bay Area, CA, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2800

Question set

180

Duration

Permanent

Focus areas

Backend DevelopmentAI APIsCloud ServicesPython/GoMicroservices

People Also Ask (FAQs)

What is the last date to apply for AI Platform Engineer, Backend Capabilities?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for AI Platform Engineer, Backend Capabilities?

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 brainco 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 AI Platform Engineer, Backend Capabilities 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, AI APIs, Cloud Services, Python/Go, Microservices.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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