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.