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Contentful

Contentful

Enterprise · Headless CMS

Contentful is actively hiring for six AI-related roles. The majority of these positions, 83%, are focused on agents, with one role in serving infrastructure. Engineering is the primary function for these hires, with job openings located in the United Kingdom and Ireland. The company is seeking expertise in areas such as model serving, agent orchestration, and RAG. Over the last 30 days, Contentful has posted one new AI role, a decrease from the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 3 active AI roles, with 24 new openings in the last 4 weeks. Primary focus: Agent · Engineering.

Hiring
3 / 3
Momentum (4w)
↑+1 +4%
24 opens last 4w · 23 prior 4w
Salary range
—
Tracked since
Jan 22
last role 3w ago
Hiring velocityscroll left for older weeks
2 new roles
Mar 25
1 new role
Apr 1
1 new role
Jul 22
1 new role
Feb 24
1 new role
Mar 10
1 new role
Aug 18
1 new role
Dec 8
4 new roles
Jan 5
1 new role
12
7 new roles
19
6 new roles
26
2 new roles
Feb 2
1 new role
9
14 new roles
16
4 new roles
23
3 new roles
Mar 2
3 new roles
9
22 new roles
16
3 new roles
23
7 new roles
30
9 new roles
Apr 6
4 new roles
13
2 new roles
20
8 new roles
27
9 new roles
May 4
12 new roles
11
2 new roles
18
1 new role
25

Frequently asked questions

  • What AI roles is Contentful hiring for?

    Contentful currently has 5 active AI-related roles in our index. The most common open titles are: Senior Software Engineer - Machine Learning (f/m/d) (2), Senior Backend Engineer - AI Platform (f/m/d) (2), Full Stack Engineer - Analytics (f/m/d). Most positions are in Engineering.

  • What stage of AI development does Contentful focus on?

    Contentful's active AI hiring is concentrated in: agents (100%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Contentful hiring AI talent?

    Contentful is hiring AI talent in: United Kingdom (2 roles), Ireland (2 roles), Germany (1 role).

  • What technologies does Contentful's AI team work with?

    Job postings at Contentful most frequently reference: agent orchestration, model serving, rag, inference infra, llm observability.

  • How many AI roles has Contentful posted recently?

    In the past 30 days, Contentful has posted 0 new AI-related roles.

Jobs (2)

3 AI · 52 total active
FilteredCountryUnited Kingdom×
Show
Active onlyAI only (≥ 7)
Stage
AllAgent · 3
Function
AllEngineering · 3
Country
AllUnited Kingdom · 2Germany · 1
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AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
Senior Software Engineer - Machine Learning (f/m/d)
Senior Machine Learning Engineer at Contentful, focusing on building and optimizing generative AI solutions for enterprise customers. The role involves designing, building, and measuring production ML workloads, optimizing generative AI products for accuracy, speed, and scalability, integrating ML cloud solutions, and applying prompt engineering and fine-tuning. It requires technical leadership in product software development, experience deploying LLM-based models, understanding customer needs, and familiarity with distributed systems and cloud services. The role also emphasizes staying up-to-date on LLM developments like RAGs, open-source models, and agent architectures.
AgentPost-trainEngineeringLondon, United KingdomJan 227
Senior Software Engineer - Machine Learning (f/m/d)
Senior Machine Learning Engineer at Contentful, focusing on building and optimizing generative AI solutions for enterprise customers. The role involves designing, building, and measuring production ML workloads, optimizing generative AI products for accuracy, speed, and scalability, integrating ML cloud solutions, and applying prompt engineering and fine-tuning. It requires technical leadership in product software development, experience deploying LLM-based models, understanding customer needs, and familiarity with distributed systems and cloud services. The role also emphasizes staying up-to-date on LLM developments like RAGs, open-source models, and agent architectures.
AgentPost-trainEngineeringLondon, United KingdomJan 227