Agentic systems in production
Prepare an account of an agentic system you shipped to production, covering monitoring, failures, and fixes.
The posting asks whether you have shipped a non-trivial agentic system to production.
Source postingZep AI interview prep. 9 likely questions.
The process at Zep AI, what each stage actually tests, and how candidates prep. Real questions where we have them, likely questions where we don't.
While you prep, Scoutify can fill in and send applications for you to similar roles.
[01] BY THE NUMBERS
Headline facts before you prep.
Pulled straight from Zep AI's career page and public data sources. Linked figures open their source or a fuller breakdown.
Full Zep AI company profile[02] INTERVIEW PROCESS
Standard software engineering loop at Zep AI.
The stages below describe the typical SWE loop. Product, Design, and Data loops differ; pick a role to see how it changes, or jump straight to real questions reported for that role.
ROLE
01Recruiter / Hiring Manager Screen
30-45 min
01
Recruiter / Hiring Manager Screen
30-45 minDiscussion of your background, research interests, and the role. ML roles often include a quick technical discussion about your past work.
- Be prepared to discuss your papers or projects in detail
- Know the company's recent publications or product launches
- Ask about the team's current research direction
02Technical Screen
60 min
02
Technical Screen
60 minCoding plus ML concepts. May include implementing an ML algorithm from scratch or discussing model architecture choices.
- Know how to implement common algorithms: logistic regression, decision trees, k-means
- Brush up on gradient descent, backpropagation, and loss functions
- Be comfortable coding in Python with NumPy
03ML Deep Dive
60 min
03
ML Deep Dive
60 minExtended discussion of ML concepts, model evaluation, feature engineering, and production ML challenges.
- Know bias-variance tradeoff, overfitting mitigation, and model selection
- Be ready to discuss model monitoring and data drift
- Understand the full ML lifecycle, not just training
04System Design / ML Architecture
60 min
04
System Design / ML Architecture
60 minDesign an ML system end-to-end: data pipeline, feature store, model training, serving, and monitoring.
- Practice designing recommendation systems, search ranking, and fraud detection
- Discuss feature engineering, online vs. offline serving
- Consider model freshness, A/B testing, and rollback strategies
05Research Discussion / Paper Review
45-60 min
05
Research Discussion / Paper Review
45-60 minSome companies ask you to present your research or discuss a recent paper. Tests depth of understanding and ability to communicate complex ideas.
- Choose a paper you understand deeply, not just superficially
- Be ready to discuss limitations and potential improvements
- Practice explaining technical concepts to different audiences
[03] REAL QUESTIONS
Likely questions for Zep AI.
9 likely questions inferred from Zep AI's open roles and company profile.
Other Roles
5 questions
Other Roles
5 questionsLikely
Can you describe a time when you faced a significant challenge in deploying an AI solution? How did you approach it and what was the outcome?
Likely
Have you ever had to pivot your approach on a project due to unexpected results? What did you learn from that experience?
Likely
What attracted you to Zep AI, and how do you see your values aligning with our mission?
Likely
What motivates you to work in the field of AI, and how do you stay updated with the latest trends and technologies?
Likely
Describe a situation where you had to lead a team through a difficult technical problem. What strategies did you use to motivate your team?
Data Science & Analytics
4 questions
Data Science & Analytics
4 questionsLikely
What techniques do you use to ensure the robustness of AI models in real-world applications?
Likely
How do you approach debugging and optimizing machine learning algorithms? Can you provide a specific example?
Likely
What is your experience with deploying AI systems in production environments, and what challenges have you encountered?
Likely
Can you explain the difference between supervised and unsupervised learning, and provide an example of when you would use each?
How to answer these: the STAR method
Use the STAR method: describe the Situation, the Task you faced, the specific Action you took, and the measurable Result. Aim for 60-90 seconds with one concrete metric. Practice it out loud before the interview so it flows naturally; the same structure works for every question above.
[04] APPLY LOGISTICS
Applications go through Yc.
Zep AI runs hiring on Yc, so the application form is hosted there. Keep your contact details and work history consistent with your resume.
Sniper applies on Greenhouse, Workday, SmartRecruiters, Ashby, Lever, UKG Pro, JazzHR and Jobvite career sites, and Zep AI hires through Yc, so the fastest route here is to get instant alerts when Zep AI posts a new role and apply yourself while it is fresh.
ATS identified from the application URLs on Zep AI's recent postings
[05] PEOPLE ALSO ASK
Common questions about Zep AI interviews.
Does Zep AI sponsor H1B visas?
Zep AI does not explicitly mention visa sponsorship in the available information. However, many tech companies in the AI sector do offer sponsorship for international candidates, especially for specialized roles. If you are an international candidate interested in applying, it's advisable to inquire directly with Zep AI during the application process regarding their specific policies on visa sponsorship.
What is the average salary and compensation structure at Zep AI?
At Zep AI, the salary range for current job postings is between $178,333 and $250,000, which averages to around $214,166. This range reflects the compensation for roles such as Applied Research Engineer and Senior AI Engineer. You can expect competitive salaries that align with industry standards for AI positions, particularly in high-cost areas like San Francisco.
What does the interview process look like at Zep AI?
The interview process at Zep AI typically includes technical assessments and behavioral interviews. You may encounter questions such as, 'Can you describe a time when you faced a significant challenge in deploying an AI solution?' This indicates a focus on real-world problem-solving and collaboration skills, which are crucial in the AI field.
Is Zep AI hiring?
Scoutify currently lists 2 open roles at Zep AI. Follow the job links to check requirements and apply on the employer's career site.
[06] OVERVIEW
What candidates run into at Zep AI.
AI company interviews blend traditional software engineering with ML-specific evaluations. Expect deep dives into ML fundamentals, statistics, paper discussions, and practical implementation challenges.
[07] PREP TIPS
How candidates prepare.
Review ML fundamentals: probability, statistics, linear algebra
Practice implementing models from scratch in Python
Read recent papers from the company's research team
Be prepared to discuss production ML challenges, not just research
Understand the company's ML infrastructure and tools
[08] PRACTICE
Practice for these roles.
Use the requirements below to choose relevant examples from your work. For each example, explain the problem, your contribution and the result. Ask your recruiter which skills the interview will cover.
Customer-facing deployment work
Outline how you would get a memory layer into a customer's production environment, listing the risks you would check first.
Getting Zep into production in customer environments is an engineering problem the role owns.
Source postingMember of Technical Staff: Research
The current posting asks for:
You have shipped production ranking, retrieval, or query understanding.
You've built classical ML into a real product — logistic regression, SVMs, GBTs, single-layer perceptrons.
You know transformer architectures and training workflows, and you work in PyTorch.
Read the employer’s full posting · Posted 2026-08-18
Head of Forward Deployed Engineering
The current posting asks for:
10+ years across software engineering, forward deployed engineering, solutions architecture, or sales engineering, with several of those years as a hands-on engineer.
You have taken enterprise deployments from first call to production under a security review and a fixed deadline.
3+ years leading customer-facing technical people, or a clear case for why you are ready to.
Read the employer’s full posting · Posted 2026-08-04
Sources reviewed 2026-10-19.
[09] FAQ
Questions candidates ask about Zep AI interviews.
These answers draw on current listings and the available sources for Zep AI.
Does Zep AI sponsor H1B visas?
Zep AI does not explicitly mention visa sponsorship in the available information. However, many tech companies in the AI sector do offer sponsorship for international candidates, especially for specialized roles. If you are an international candidate interested in applying, it's advisable to inquire directly with Zep AI during the application process regarding their specific policies on visa sponsorship.
What is the average salary and compensation structure at Zep AI?
What does the interview process look like at Zep AI?
Is Zep AI hiring?
[10] MORE INTERVIEW PREP
Companies candidates compare with Zep AI.
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