Principal Software Engineer - LLM Optimization at J.P. Morgan
About the role
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION At JPMorganChase, we are building the infrastructure that powers the next generation of enterprise AI - and we need the best minds in LLM inference to help us do it. This is your opportunity to work at the intersection of cutting-edge machine learning and large-scale production systems, directly influencing how one of the world's largest financial institutions deploys and opt…
Interview process at J.P. Morgan
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types J.P. Morgan interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.