The FDE interview is unusual because the job is unusual: half engineer, half consultant, fully accountable. Companies test both halves, and candidates who prepare only for the coding rounds walk into the client simulation blind. This guide covers the real question types, drawn from Palantir style decomposition rounds and the AI heavy loops used across the industry in 2026, with the reasoning interviewers are listening for.
Every FDE interview question, technical or behavioural, is secretly the same question: can this person walk into ambiguity, find the real problem, build a working solution, and carry a customer along the way? Answer with that arc, structure first, trade offs out loud, outcome at the end, and you will outperform candidates with stronger raw coding.
Decomposition: The Round That Filters Hardest
The signature FDE round, made famous by Palantir, hands you a vague, huge problem and watches you carve it into something buildable. There is no single right answer, and that is the point.
- "Design a system to detect fraud in a national payments network." They are watching whether you ask clarifying questions before designing, whether you identify data sources and constraints, and whether you can propose a phased build rather than a fantasy architecture.
- "A hospital chain wants to reduce patient wait times. Where do you start?" The trap is jumping to a dashboard. Strong candidates start with discovery: who feels the pain, what data exists, what would a ten percent improvement be worth.
- "Estimate how many ambulances a city like Mumbai needs." A structured estimation question. State assumptions, decompose demand, sanity check the result, and say where your model is weakest.
The AI System Design Round
In 2026 loops, the design round is almost always an AI system, because that is what you will deploy. Expect one of these shapes:
- "Design a RAG system for a bank's compliance team." They want chunking and retrieval choices justified, permissions handled, hallucination mitigated, and evaluation built in from day one
- "An agent needs to read tickets, query a database, and draft replies. Architect it." They are listening for tool design, guardrails, human approval gates, and what happens when the agent is wrong
- "The client says the model is hallucinating in production. Debug it." Strong answers treat it as a retrieval and evaluation problem first, and describe tracing before touching the model
The Client Simulation: Where Engineers Get Rejected
This is the round most engineers have never practised. An interviewer plays a sceptical or confused stakeholder, and you must run the conversation.
- "Our last AI vendor failed. Why should this be different?" They are testing composure and honesty. Acknowledge the failure modes, explain what you would do differently, and avoid overpromising, which is an instant red flag.
- "The client's CTO wants feature X, but you know it will not solve their problem." The tested skill is disagreeing without losing the room: validate the goal behind the request, show evidence, propose an alternative path to the same goal.
- "Explain to a non technical COO why the pilot needs four more weeks." They want plain language, a concrete risk framing, and an option set rather than an apology.
Behavioural, With an Ownership Filter
The behavioural round screens for the founder like ownership the role demands. Prepare stories with real stakes, told in a tight arc: situation, decision, outcome, lesson.
- "Tell me about a time you shipped something with incomplete requirements"
- "Describe a moment you had to deliver bad news to someone senior"
- "Walk me through a project that failed and what you did next"
- "When did you push back on a customer, and how did it land?"
How the Rounds Map to What You Should Practise
| Round | What it looks like | What to practise |
|---|---|---|
| Decomposition | Vague, giant problem, whiteboard | Clarify, structure, phase, estimate out loud |
| AI system design | RAG or agent architecture | Justify every component, add evals and guardrails |
| Client simulation | Roleplay with a difficult stakeholder | Discovery questions, plain language, calm pushback |
| Behavioural | Ownership and failure stories | Tight arcs with real stakes and honest lessons |
| Coding | Practical scripting and data wrangling | Python fluency on realistic tasks, not puzzles |
The Jobs This Preparation Unlocks
The same four round shape now appears in loops far beyond the FDE title. Prepare for it once, properly, and you are simultaneously ready for these seats.
Forward Deployed Engineer Highest Paid
Tap the card to see what this role actually involves.
Forward Deployed Engineer
The full loop this guide prepares you for, at the labs and at Palantir style firms.
Tap to flip backAI Agent Engineer Highest Demand
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AI Agent Engineer
The agent design round is this job's daily work: tools, guardrails, approval gates.
Tap to flip backAI Solutions Engineer Client Facing
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AI Solutions Engineer
The client simulation round is the job: discovery, objection handling, technical trust.
Tap to flip backApplied AI Engineer Startup Favorite
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Applied AI Engineer
The RAG design round, shipped weekly: retrieval, evals, and pragmatic trade offs.
Tap to flip backThe stack interviewers expect fluency in
Python
LangChain
LangGraph
MCP
Claude
Azure AI Foundry
Practise the whole loop, not just the coding
The 360DT FDE Program runs mock decomposition rounds, client simulations with feedback, and a panel evaluated capstone, on top of the engineering depth. You walk into the real loop having already done every round at least once.
Explore the FDE ProgramHow hard is the Forward Deployed Engineer interview?
Demanding, but differently from a pure coding loop. The technical bar is real yet practical, while the differentiating rounds test structure under ambiguity and client communication, skills most engineers have simply never rehearsed. Candidates who practise the decomposition and simulation formats report the biggest improvement.
Does the FDE interview include LeetCode style questions?
Some companies include a practical coding screen, usually data wrangling or scripting close to real work rather than algorithmic puzzles. The heavier weight sits on system design, decomposition, and the client facing rounds.
How should I prepare if I have never worked with clients?
Simulate it. Practise running discovery conversations, explaining a technical trade off to a non technical friend, and delivering a delay message out loud. Structured programs with roleplay and feedback compress this fastest, because the skill is performative and improves only with reps.
Sources and further reading
- Palantir careers materials and engineering blog on the FDSE role and interview style
- The Pragmatic Engineer on FDE hiring and role expectations
- Candidate reported interview experiences aggregated from Glassdoor and Blind, 2025 to 2026
- Public system design and RAG evaluation practices from LangChain and Anthropic documentation



