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alexeygrigorev/ai-engineering-field-guide resource

Research into AI engineering interview assignments, take-home challenges, and hiring practices from 2026 observed · 2026-08-28

github.com/alexeygrigorev/ai-engineering-field-guide · HTML observed · 2026-08-28

Health v2 · maintenance only

60/100

  • Activity 99
  • Release rhythm 35
  • Longevity 15

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 210
  • days_rel: n/a
  • days_push: 8
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

5389 stars · 533 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A data-driven field guide to AI engineering roles, skills, and interviews, built from analysis of thousands of real job descriptions, interview experiences, and practitioner stories. It covers the AI engineer role, interview preparation materials, and learning paths for career transitions.

Use cases

  • prepare for an AI engineering interview
  • find take-home assignment examples for AI engineer roles
  • understand what skills AI engineering job postings require
  • plan a learning path to become an AI engineer
  • research AI engineer salary and offer negotiation
  • compare interview processes across companies
  • transition from data engineering to AI engineering

When to choose

  • you are preparing for AI/LLM engineering interviews and want real, data-backed question banks
  • you want to understand the AI engineering job market from actual job postings
  • you need curated take-home assignment examples and portfolio guidance

When to avoid

  • you need a software tool or library rather than written guidance
  • you want formal ML theory coursework or academic material
  • you need guaranteed up-to-date content, since insights reflect scraped data snapshots

Facets

learning-resource · maturity active

documentation developer-tools artificial-intelligence large-language-models tutorials education hr ai-engineering interview-preparation career-guide job-market-analysis field-guide hiring web-server

1 source

Member repositories

RepositoryRoleHealth v2
alexeygrigorev/ai-engineering-field-guidemain60

For agents

markdown · JSON · MCP: product_card(name="alexeygrigorev/ai-engineering-field-guide")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem