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 |
|---|---|---|
| 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 |
| Security engineer, detection and response (US) Security engineer focused on detection and response for AI infrastructure, including AI-specific threats like prompt injection and data poisoning. The role involves building automated response systems, leading incident response for AI infrastructure, 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 AI researchers to protect the AI platform. |
| AgentServe |
| 9 |
| 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 engineer, generative AI Software engineer focused on building and deploying generative AI services and applications, including agentic workflows and LLM integrations, for enterprise clients. The role involves developing scalable, low-latency APIs and microservices, collaborating with cross-functional teams, and ensuring robust performance and reliability. | AgentServe | 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 (US) 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 ensure successful adoption, acting as a bridge between customer needs and internal product/engineering teams. | Agent | 8 |
| Software engineer, agents 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 | 8 |
| Software engineer, generative AI Software engineer focused on building and optimizing generative AI services, applications, and agentic workflows for enterprise clients, leveraging LLMs and modern AI frameworks. | AgentServe | 8 |
| AI engineer AI Engineer role focused on architecting, developing, and deploying high-performance, scalable AI applications, intelligent agents, and AI-powered features for enterprise clients. The role involves collaborating with research and product teams, contributing to the evaluation of emerging AI technologies, and championing responsible AI practices. Requires 5+ years of experience in building and deploying ML/AI systems, proficiency in Python and ML frameworks, and experience with cloud platforms and MLOps. | AgentServe | 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 |
| 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 |
| 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 |
| Solutions architect (East) Solutions Architect role focused on designing and implementing generative AI solutions for enterprise clients using WRITER's platform and LLMs. This involves technical discovery, building PoCs, and acting as a trusted advisor to C-suite executives, with a focus on scaling AI adoption and providing customer feedback to product teams. | Agent | 7 |