Senior Software Engineer, AI Enablement
Chime is seeking a proactive and skilled Senior Software Engineer to drive our critical AI Enablement initiatives. This role is central to integrating cutting-edge artificial intelligence features into our core financial product suite. Key responsibilities include developing robust APIs for ML models, building scalable data pipelines necessary for model training/inference, and ensuring that new AI functionalities meet enterprise-grade reliability standards. You will work with machine learning engineers to operationalize research prototypes into production services. Proficiency in modern backend languages, strong knowledge of cloud infrastructure (e.g., AWS), and practical experience applying ML concepts—such as NLP or recommendation engines—to real-world financial data are highly desirable. This position is ideal for an engineer passionate about the intersection of finance and artificial intelligence.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1900
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Software Engineer, AI Enablement?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Software Engineer, AI Enablement?
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 chime 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 Senior Software Engineer, AI Enablement 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: Machine Learning, AI Integration, Backend Development, Cloud Services.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.