Staff Fullstack Engineer, Agentic Applications
Drive the development of next-generation agentic applications that leverage advanced AI and large language models (LLMs). This role requires a unique blend of full-stack engineering prowess and deep understanding of cognitive computing principles. Key responsibilities include designing multi-step reasoning agents, integrating various LLM APIs, building scalable orchestration layers, and creating user-facing interfaces for complex AI workflows. You will work closely with product managers to translate cutting-edge research into reliable, production systems. Candidates must be adept at modern full-stack development while possessing practical experience in developing or consuming agentic architectures (e.g., LangChain, LlamaIndex). Expertise in cloud services and distributed backend patterns is highly desirable for this mission-critical domain.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2000
Question set
200
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Staff Fullstack Engineer, Agentic Applications?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Staff Fullstack Engineer, Agentic Applications?
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 databricks 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 Staff Fullstack Engineer, Agentic Applications 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: Fullstack Development, AI/ML Engineering, Agentic Systems, Backend APIs.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.