artificial-intelligence-engineer/references/market.md

# Market evidence report — artificial-intelligence-engineer

Source: **78 real job ads** (JSearch API, countries: us 45, de 22, at 9, ch 2), extracted into the MSSQL evidence store; as of 2026-07-09.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).

## Seniority distribution

| Seniority | Ads | Share |
|---|---|---|
| mid | 58 | 74 % |
| senior | 16 | 21 % |
| lead | 2 | 3 % |
| junior | 1 | 1 % |
| n/a | 1 | 1 % |

## Tools — full market ranking

| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Python | 28 | 36 % |
| 2 | Kubernetes | 16 | 21 % |
| 3 | Docker | 15 | 19 % |
| 4 | AWS | 14 | 18 % |
| 5 | LangChain | 14 | 18 % |
| 6 | Azure | 13 | 17 % |
| 7 | PyTorch | 11 | 14 % |
| 8 | TensorFlow | 10 | 13 % |
| 9 | Git | 8 | 10 % |
| 10 | GCP | 6 | 8 % |
| 11 | LangGraph | 6 | 8 % |
| 12 | OpenAI | 6 | 8 % |
| 13 | fastapi | 5 | 6 % |
| 14 | llamaindex | 5 | 6 % |
| 15 | Scikit-learn | 5 | 6 % |
| 16 | vector databases | 5 | 6 % |
| 17 | vLLM | 5 | 6 % |
| 18 | n8n | 4 | 5 % |
| 19 | NumPy | 4 | 5 % |
| 20 | Pandas | 4 | 5 % |
| 21 | Terraform | 4 | 5 % |
| 22 | azure ai services | 3 | 4 % |
| 23 | C++ | 3 | 4 % |
| 24 | CI/CD | 3 | 4 % |
| 25 | Claude | 3 | 4 % |
| 26 | claude Code | 3 | 4 % |
| 27 | Codex | 3 | 4 % |
| 28 | Confluence | 3 | 4 % |
| 29 | CrewAI | 3 | 4 % |
| 30 | GitHub Copilot | 3 | 4 % |
| 31 | Jira | 3 | 4 % |
| 32 | LiteLLM | 3 | 4 % |
| 33 | Microsoft Copilot | 3 | 4 % |
| 34 | OpenShift | 3 | 4 % |
| 35 | react | 3 | 4 % |
| 36 | RUST | 3 | 4 % |
| 37 | semantic kernel | 3 | 4 % |
| 38 | SQL | 3 | 4 % |

## Hard skills — full market ranking

| # | Item | Ads | Share |
|---|---|---|---|
| 1 | machine learning | 19 | 24 % |
| 2 | data analysis | 18 | 23 % |
| 3 | prompt engineering | 10 | 13 % |
| 4 | data engineering | 9 | 12 % |
| 5 | system integration | 9 | 12 % |
| 6 | api integration | 7 | 9 % |
| 7 | natural language processing | 7 | 9 % |
| 8 | ai solution design | 6 | 8 % |
| 9 | deep learning | 6 | 8 % |
| 10 | software development | 6 | 8 % |
| 11 | software engineering | 6 | 8 % |
| 12 | computer vision | 5 | 6 % |
| 13 | data pipeline development | 5 | 6 % |
| 14 | ki platform development | 5 | 6 % |
| 15 | model evaluation | 5 | 6 % |
| 16 | model training | 5 | 6 % |
| 17 | ai solution development | 4 | 5 % |
| 18 | business process analysis | 4 | 5 % |
| 19 | data preparation | 4 | 5 % |
| 20 | data preprocessing | 4 | 5 % |
| 21 | incident management | 4 | 5 % |
| 22 | ki model development | 4 | 5 % |
| 23 | model optimization | 4 | 5 % |
| 24 | requirements analysis | 4 | 5 % |
| 25 | troubleshooting | 4 | 5 % |
| 26 | ai integration | 3 | 4 % |
| 27 | ai system design | 3 | 4 % |
| 28 | api development | 3 | 4 % |
| 29 | api management | 3 | 4 % |
| 30 | code review | 3 | 4 % |
| 31 | data modeling | 3 | 4 % |
| 32 | data pipeline construction | 3 | 4 % |
| 33 | data processing | 3 | 4 % |
| 34 | ki solution development | 3 | 4 % |
| 35 | llm integration | 3 | 4 % |
| 36 | model deployment | 3 | 4 % |
| 37 | performance profiling | 3 | 4 % |
| 38 | predictive analytics | 3 | 4 % |
| 39 | process mapping | 3 | 4 % |
| 40 | reinforcement learning | 3 | 4 % |
| 41 | security assessment | 3 | 4 % |
| 42 | statistical analysis | 3 | 4 % |
| 43 | system design | 3 | 4 % |

## Methods — full market ranking

| # | Item | Ads | Share |
|---|---|---|---|
| 1 | agile development | 8 | 10 % |
| 2 | agile methodologies | 8 | 10 % |
| 3 | mlops | 7 | 9 % |
| 4 | retrieval-augmented generation (RAG) | 7 | 9 % |
| 5 | ci/cd | 5 | 6 % |
| 6 | devsecops | 4 | 5 % |
| 7 | scrum | 4 | 5 % |
| 8 | containerization | 3 | 4 % |
| 9 | infrastructure-as-code | 3 | 4 % |
| 10 | machine learning | 3 | 4 % |
| 11 | model context protocol (mcp) | 3 | 4 % |
| 12 | prompt engineering | 3 | 4 % |
| 13 | rag | 3 | 4 % |
| 14 | rag architectures | 3 | 4 % |

## Responsibilities — full market ranking

| # | Item | Ads | Share |
|---|---|---|---|
| 1 | technical documentation | 7 | 9 % |
| 2 | junior engineer mentoring | 6 | 8 % |
| 3 | performance monitoring | 5 | 6 % |
| 4 | solution development | 5 | 6 % |
| 5 | solution implementation | 5 | 6 % |
| 6 | standard development | 5 | 6 % |
| 7 | system integration | 5 | 6 % |
| 8 | ai solution implementation | 4 | 5 % |
| 9 | data pipeline development | 4 | 5 % |
| 10 | documentation | 4 | 5 % |
| 11 | documentation creation | 4 | 5 % |
| 12 | infrastructure operation | 4 | 5 % |
| 13 | ki solution lifecycle management | 4 | 5 % |
| 14 | stakeholder consultation | 4 | 5 % |
| 15 | ai solution deployment | 3 | 4 % |
| 16 | ai solution integration | 3 | 4 % |
| 17 | automation implementation | 3 | 4 % |
| 18 | llm integration | 3 | 4 % |
| 19 | model deployment | 3 | 4 % |
| 20 | model development | 3 | 4 % |
| 21 | monitoring implementation | 3 | 4 % |
| 22 | system monitoring | 3 | 4 % |

## Regional breakdown

> **Corpus note:** 78 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.

### US (us)

45 ads.

**Top hard skills:**

- machine learning — 29 % (13 ads)
- prompt engineering — 20 % (9 ads)
- data engineering — 18 % (8 ads)
- ai solution design — 13 % (6 ads)
- natural language processing — 13 % (6 ads)
- data analysis — 11 % (5 ads)
- model evaluation — 11 % (5 ads)
- software engineering — 11 % (5 ads)
- data preprocessing — 9 % (4 ads)
- ai integration — 7 % (3 ads)

**Top tools:**

- Python — 44 % (20 ads)
- Kubernetes — 27 % (12 ads)
- Docker — 24 % (11 ads)
- LangChain — 24 % (11 ads)
- AWS — 20 % (9 ads)
- PyTorch — 16 % (7 ads)
- TensorFlow — 16 % (7 ads)
- Azure — 13 % (6 ads)
- fastapi — 11 % (5 ads)
- GCP — 11 % (5 ads)

**Seniority:** mid 67 % · senior 29 % · lead 4 %

### UK (gb)

**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.

### EU/DACH (de, at, ch, nl)

33 ads.

**Top hard skills:**

- data analysis — 39 % (13 ads)
- system integration — 21 % (7 ads)
- machine learning — 18 % (6 ads)
- ki platform development — 15 % (5 ads)
- api integration — 12 % (4 ads)
- business process analysis — 12 % (4 ads)
- incident management — 12 % (4 ads)
- ki model development — 12 % (4 ads)
- requirements analysis — 12 % (4 ads)
- ai solution development — 9 % (3 ads)

**Top tools:**

- Python — 24 % (8 ads)
- Azure — 21 % (7 ads)
- AWS — 15 % (5 ads)
- Docker — 12 % (4 ads)
- Kubernetes — 12 % (4 ads)
- PyTorch — 12 % (4 ads)
- azure ai services — 9 % (3 ads)
- Git — 9 % (3 ads)
- LangChain — 9 % (3 ads)
- LiteLLM — 9 % (3 ads)

**Seniority:** mid 85 % · senior 9 % · junior 3 % · n/a 3 %


## Job title variants in the market

| Title | Ads |
|---|---|
| AI Engineer | 5 |
| Artificial Intelligence (AI) Engineer | 3 |
| KI-Analyst/KI-Engineer | 3 |
| KI-Engineer (m/w/d) | 3 |
| Agentic AI Engineer | 2 |
| Artificial Intelligence ("AI") Solutions Engineer | 2 |
| Artificial Intelligence Engineer | 2 |
| 361 - AI Engineer with Security Clearance | 1 |
| AI / ML Engineer | 1 |
| AI and ML Software Engineer | 1 |
| Ai Architect | 1 |
| AI Automation Design Packaging Lead | 1 |
| AI Engineer - Gen AI & NLP | 1 |
| AI Engineer - Google AI & Generative Intelligence - Full Time Role | 1 |
| AI Engineer - Remote | 1 |
| AI ENGINEER (D/M/W) - KI Produktentwicklung & KI BERATUNG | 1 |
| AI Engineer (w/m/d) | 1 |
| AI Engineer- Level III | 1 |
| AI Engineer with Security Clearance | 1 |
| AI Engineer, Platform Infrastructure, Special Programs | 1 |
| AI Implementation Engineer (m/w/d) | 1 |
| AI Research Engineer | 1 |
| AI Security Systems Architect | 1 |
| AI Software Engineer - Remote | 1 |
| AI Software Engineer-Senior | 1 |

Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.