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.
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 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 |
|---|---|---|
| Software engineer, agents (UK) Software engineer to join an engineering team building advanced AI-driven agent systems that execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. The role involves designing, building, and scaling next-generation AI agents that integrate with enterprise data and services. | Agent | 9 |
| AI engineer (UK) AI Engineer role focused on building and deploying scalable AI applications, intelligent agents, and AI-powered features for enterprise customers using LLMs. The role involves production deployment, collaboration with research and product teams, and championing responsible AI practices. | AgentServe | 9 |
| Software engineer, generative AI (UK) |
| AgentServe |
| 8 |
| Software quality engineer (UK) Software Quality Engineer for an enterprise generative AI platform, focusing on AI agents and LLM-powered applications. Responsibilities include defining QA strategies, developing automation frameworks, collaborating with ML engineers and data scientists, driving process improvements, defect tracking, and monitoring production systems. Requires experience in testing complex distributed systems or AI/ML applications, proficiency in Python/Typescript, and understanding of AI/ML concepts. | AgentPost-train | 8 |
| AI deployment engineer (UK) AI deployment engineer responsible for partnering with enterprise customers to identify AI use cases, architect and deliver custom solutions using WRITER's platform and LLMs, and drive customer adoption. Focuses on translating complex needs into tangible applications and providing customer feedback to influence product roadmap. | Agent | 8 |
| Security engineer, application security (UK) Security engineer focused on securing enterprise AI platforms, including LLM architectures, AI agents, training data pipelines, and customer-facing AI agents. Responsibilities include threat modeling, SAST/DAST scanning, security code reviews, secure coding standards, penetration testing, and designing security controls for AI infrastructure. The role emphasizes integrating AI agents to improve security team velocity and staying ahead of emerging AI/ML security threats. | AgentData | 7 |