Your readiness
0 / 0What this job actually is
Build
AI-powered systems
LLM features, classification, reporting, data processing — not training models from scratch. You wire models into real workflows.
Connect
Integrations & automation
APIs, webhooks, databases and third-party platforms. Data flowing reliably between systems is the core of the role.
Operate
Test, monitor, document
Testing AI workflows, troubleshooting failures, monitoring performance, writing SOPs and workflow docs.
Job requirement → where to prepare it
| Requirement in the posting | Prove it with | Page |
|---|---|---|
| OpenAI Codex, Claude Code, AI coding tools | Demo a repo you built/fixed with an AI agent; explain review & verification | AI Tools |
| APIs, webhooks, authentication, databases, data flows | Whiteboard a webhook flow; explain API keys vs OAuth vs JWT; idempotency | Systems & APIs |
| LLMs, AI workflows, prompt engineering | Structured outputs, RAG basics, evals, cost/latency trade-offs | Technical Core |
| Workflow automation & integrations | n8n / Make / Zapier-style flow + code-based alternative | AI Tools |
| Testing, troubleshooting, monitoring | A debugging story with logs, retries, dead-letter handling | Systems |
| Data processing, classification, reporting | Pipeline: ingest → classify with LLM → store → report | Projects |
| Documentation, SOPs, English 10/10 | One clean SOP + fluent spoken answers | Behavioral |
The 60-second pitch (memorise the structure, not the words)
“I’m a junior AI systems engineer with hands-on experience building AI-assisted and automation workflows. I work with tools like Claude Code / Codex to ship and debug code faster, and I’ve built integrations using REST APIs, webhooks and databases — for example [your project: what it connected, what the LLM did, what the result was]. I’m strong on structured problem-solving: reproduce, isolate, fix, verify, document. I’m now looking to grow with a senior team, working US hours remotely from Bangladesh, and this role matches exactly the mix of AI, automation and systems work I want to deepen.”
Replace the bracket with your real project.Today's checklist
- Read every page title and skim headings (30 min)
- Build / polish one demo project from Projects & Labs
- Practise the 60-second pitch out loud 3 times
- Do 15 flashcards on the Q&A Bank page
- Book a mock interview slot — even with a friend
- Prepare 3 questions to ask them (team, stack, success in 90 days)
Interview loop — what to expect
1. Screening (English & fit)
Fluency, US-hours availability, salary alignment (৳50–70k), remote setup, why this role. Be crisp and audible.
2. Technical conversation
APIs, webhooks, auth, databases, LLM basics, prompt engineering, debugging. Think aloud; structure answers.
3. Practical / take-home
Build a small integration or automation, often with AI tools allowed. Document as you go; ship working + README.
4. Senior / final round
System thinking, learning speed, communication, ownership. Show curiosity and structured follow-ups.
Start Day 1 → Jump to Q&A Bank
Test yourself
Module 0 Test — Role Overview
Tap an answer — explanation appears instantly. Pass mark: 70%. Retake until you pass.
What is the core of this Junior AI Systems Engineer role?
Which trio best matches the posting?
What proves Claude Code / Codex skill best?
What is the safest answer when you don't know something?
0 / 4 correct