Currently tracking 18 active AI roles, with 25 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $119k–$316k (avg $220k).
Writer is currently hiring for 21 AI-related roles, with a strong emphasis on the agents stage, which accounts for 71% of their active listings. Engineering is the primary function for these positions. The company has seen a significant increase in hiring, with 20 new AI roles posted in the last 30 days, a 300% rise compared to the previous 30-day period. Key technical areas include agent orchestration and LLM observability.
Writer currently has 23 active AI-related roles in our index. The most common open titles are: AI deployment engineer (Central), AI deployment engineer (East), AI deployment engineer (UK), AI deployment engineer (West), AI engineer . Most positions are in Engineering and Product.
Writer's active AI hiring is concentrated in: agents (74%), serving infrastructure (17%), application (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Writer is hiring AI talent in: United States (14 roles), United Kingdom (9 roles).
Job postings at Writer most frequently reference: agent orchestration, llm observability, model serving, rag, inference infra.
In the past 30 days, Writer has posted 20 new AI-related roles. That is a +100% change versus the prior 30 days (10 → 20).
| Title | Stage | AI score |
|---|---|---|
| Security engineer, detection and response (UK) Security engineer focused on detecting and responding to threats targeting AI infrastructure, training data, and model deployments. This role involves building sophisticated detection systems, automated response capabilities, and proactive threat hunting across GPU clusters and distributed training environments, with a focus on AI-specific attack vectors. | ServeData | 9 |
| Security engineer, detection and response (UK) Security engineer focused on detecting and responding to threats targeting AI infrastructure, training data, and model deployments. This role involves building detection systems, automated response playbooks, leading incident response, proactive threat hunting across GPU clusters and training environments, and developing detection-as-code frameworks. It requires collaboration with AI Security research, Cloud Infrastructure, and Software Security Engineering teams to protect enterprise-grade AI platforms. |
| ServeData |
| 9 |