Staff Software Engineer, Agentic Applications
We are seeking a highly skilled Staff Software Engineer to spearhead the development of our next generation of agentic applications. This critical role involves architecting and implementing complex, autonomous systems that use Large Language Models (LLMs) to perform multi-step reasoning, data extraction, and task execution based on enterprise context. Key responsibilities include designing scalable agent frameworks, optimizing inference pipelines, and ensuring seamless integration with the Databricks Lakehouse Platform. You will work across multiple teams to turn conceptual AI capabilities into robust, production-grade software. Candidates must possess strong expertise in distributed systems, modern programming paradigms, and a proven track record of shipping complex ML/AI products.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
200
Question set
180
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Staff Software Engineer, Agentic Applications?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Staff Software 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 Software 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: Software Engineering, AI Agents, LLMs, Python, Backend Systems.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.