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.
AI Frontier · Enterprise gen AI
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 Research.
Writer's active AI hiring is concentrated in: agents (74%), serving infrastructure (17%), application (4%). 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 (15 roles), United Kingdom (8 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 6 new AI-related roles. That is a -70% change versus the prior 30 days (20 → 6).
Currently tracking 18 active AI roles, down 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $119k–$316k (avg $220k).
| Title | Stage | AI score |
|---|---|---|
| Staff AI research scientist AI research scientist focused on large language models and agentic reasoning for enterprise AI deployments. The role involves leading research agendas, designing post-training experiments (SFT, RLHF, RLAIF, DPO), building evaluation benchmarks, developing data synthesis pipelines, and shaping model architecture. The goal is to advance the field and ship research into production products used by hundreds of thousands of people. | Post-trainAgent | 9 |
| 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 AI Engineer role focused on building and deploying scalable AI applications, intelligent agents, and AI-powered features for enterprise clients. The role involves architecting, developing, and integrating these solutions into an end-to-end platform, collaborating with research and product teams, and contributing to the evaluation of new AI technologies. Emphasis on production deployment, scalability, and responsible AI practices. | AgentServe | 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 |
| Security engineer, detection and response (US) Security engineer focused on detection and response for AI infrastructure, including AI-specific threats, automated response, and incident coordination across GPU clusters and training environments. The role involves building detection systems, automated response playbooks, and proactive threat hunting within a rapidly evolving AI security landscape. | ServeAgent | 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 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 |
| Software engineer, generative AI (UK) Software Engineer, Generative AI role focused on building secure, scalable generative AI services and applications, including high-performance APIs and microservices for integrating LLMs and agentic workflows. The role involves system design, owning architecture, and partnering with DevOps for CI/CD, logging, and monitoring. Requires strong Python, generative AI, LLM, vector database, and microservices experience, with exposure to cloud platforms and enterprise architecture. | AgentServe | 8 |
| Software engineer, generative AI Software Engineer, Generative AI role focused on building secure, scalable generative AI services and applications, optimizing APIs and microservices for LLMs and agentic workflows, and owning system design and architecture. The role involves integrating AI models, developing user interfaces, and partnering with DevOps for CI/CD and monitoring. Requires strong Python, generative AI, LLM, vector database, and microservices experience, with exposure to cloud platforms and enterprise security. | 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 |
| Software engineer, agents Software engineer role focused on building and scaling advanced AI-driven agent systems that execute autonomous workflows and orchestrate multi-step tasks for enterprise applications. Integrates agent capabilities with various backend services and data stores, ensuring reliability and observability. | Agent | 8 |
| AI deployment engineer (Central) AI deployment engineer responsible for partnering with enterprise customers to identify AI use cases, architect and deliver custom AI solutions using WRITER's platform and LLMs, and drive customer adoption. This role involves translating technical concepts, providing customer feedback to product/engineering, and developing scalable processes for technical integrations. | Agent | 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 |
| Software engineer, connectors & MCP Software engineer to build and operate secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation. Focus on backend service design for high-throughput, low-latency APIs enabling agent workflows and cross-system orchestration, with an emphasis on identity, auth, and trust boundaries. Requires experience with AI integration layers, distributed systems, cloud-native technologies, and observability. | Agent | 7 |
| Software quality engineer (US) Software Quality Engineer responsible for ensuring the quality, reliability, and performance of AI-powered work orchestration platform, including AI agents and LLM applications. This involves defining QA strategies, developing automation frameworks, collaborating with ML engineers and data scientists, and monitoring production systems. | Agent | 7 |
| Solutions architect (Central) Solutions Architect role focused on designing and implementing generative AI solutions for enterprise clients using WRITER's platform and LLMs. The role involves technical discovery, architecting solutions, leading PoCs, and advising C-suite executives, with a focus on customer success and influencing product roadmap. | Agent | 7 |
| Security engineer, application security Security engineer focused on building security foundations for AI systems, including LLM architectures, AI agents, and training data pipelines. Responsibilities include threat modeling, secure architecture design, SAST/DAST scanning, security code reviews, and integrating AI agents for security team velocity. The role requires securing customer-facing AI agents and staying ahead of AI/ML security threats. | Agent | 7 |
| 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 |
| AI deployment engineer (East) This role focuses on deploying and implementing AI-powered solutions for enterprise customers, leveraging the company's platform and LLMs. The engineer will partner with customers to identify use cases, architect custom applications, and drive adoption, acting as a bridge between customer needs and the company's AI capabilities. | Agent | 7 |
| AI deployment engineer (West) AI Deployment Engineer role focused on partnering with enterprise customers to architect and implement AI-powered solutions using WRITER's platform and LLMs. The role involves identifying use cases, delivering custom applications, translating technical concepts, and driving customer adoption to solve complex business challenges. | Ship | 7 |
| Solutions architect (East) Solutions Architect for an enterprise generative AI platform, focusing on designing and building AI-powered work solutions for large prospects and customers. The role involves technical discovery, architecting solutions using the company's platform and APIs, leading PoCs, and advising C-suite executives on generative AI strategy. | Agent | 7 |