LLM & GenAI technical tests: prepare effectively
Prepare for LLM, RAG, or prompt engineering tests: free Ganloss challenges, auto grading, profile badges tied to your AI projects.
AI interviews shift away from pure LeetCode toward RAG, agents, prompts, and pipeline debugging. Ganloss offers 17 role-oriented challenges linked to your candidate portfolio.
What recruiters test in 2026
Retrieval and chunking, prompt injection, eval metrics (faithfulness), system prompts, agents and tool calling, MLOps monitoring, cost/latency trade-offs, and Python data tasks (chunking, cosine similarity, parsing tool calls). They check delivery experience, not paper recitation.
Ganloss track (17 challenges)
9 quizzes (RAG, security, eval, agents, infra), 5 written prompts (chunking, agent memory, monitoring, guardrails), 3 Python exercises. Score ≥ 70/100 passes. “Validated” badge at 4 tests, “expert” at 8.
Prep plan (~3 hours)
1) Review a personal or work RAG/agent project. 2) Run quizzes to calibrate. 3) Write answers on chunking and monitoring. 4) Code chunk_text, cosine_similarity, extract_tool_name. 5) Save badges on your public profile.
During the test
Explain your choices in the dedicated field — Ganloss recruiters see reasoning, not only score. Stay on tab; focus changes are logged (light proctoring).
Keep exploring
FAQ
- Do I need expert Python to pass?
- No. Most items are quizzes or written answers. The three Python tasks are junior/mid (chunking, cosine similarity, JSON parsing) with local Pyodide execution.
- Can recruiters see my scores?
- Yes on your public Ganloss talent profile, with the project you link after passing.
AI jobs you may like
Home feed and discovery ranking models for Spotify listeners worldwide.
GenAI tooling for podcast creators — Boston tech hub.
Kernel and inference optimizations for LLM serving — Austin AI research lab.
Graph neural networks for drug target discovery — SF biotech partnerships.
Real-time voice agents and telephony LLM integrations — Denver engineering office.
Sources: US AI/tech market data (2026), Ganloss job listings, public training catalogs.