AI Engineer at Apex Systems
About the role
Job: 3048434 Job Description: Role Overview: Design, develop, and deploy advanced ML and generative AI solutions (e.g., RAG, image generation) using LLMs, prompt engineering, and MLOps best practices. Collaborate across teams to integrate Azure, Snowflake, and other technologies into scalable, secure AI applications. Key Responsibilities: Build generative AI systems using Azure OpenAI, Cognitive Search, and Snowflake Cortex. Fine-tune LLMs/SLMs using techniques like RLHF and prompt tuning. Deve…
Interview process at Apex Systems
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 Apex Systems interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.