2 of 2 Remote Prompt Engineering Jobs in Cambridge

Job Overview: Arm's Productivity Engineering (PE) team is looking for a forward-thinking Staff AI/ML Engineer to help design, develop and scale up production-grade applications powered by large language models (LLMs). This role focuses on hands-on technical innovation, with a strong emphasis on building scalable and impactful AI systems for real-world engineering … you thrive on building systems that push the boundaries of what's possible with LLMs and you want to be part of a team that's redefining the way engineering is done, we'd love to hear from you! About the Team The PE AI & Engineering Excellence team is Arm's engine for AI-driven productivity. Our mission … is to enhance engineering efficiency through automation, intelligence, and innovation. We work across a broad range of problems in Arm across hardware and software, and we drive engineering excellence and efficiency through the deployment of AI into existing workflows. Responsibilities: Build AI applications that integrate LLM capabilities into engineering workflows, from interactive agents to intelligent automation tools. More ❯

tight-knit team of engineers and product leads who are deeply committed to building responsible, high-impact AI systems. If you’re excited by the intersection of AI, software engineering, and emerging agentic architectures—this is your place. The business is an ambitious, fast-moving team building next-generation AI-native systems — products that think, learn, and adapt in … Python skills with clean, maintainable code. At least 12 months of real, proven production experience with LLM workflows and scaling them in real-world applications. Solid understanding of advanced prompt engineering techniques. Good knowledge and practical experience with FastAPI and RESTful APIs. Solid knowledge of PostgreSQL. Experience with DevOps/MLOps, including deploying and monitoring ML pipelines. Decent … with LiveKit or similar audio/video platforms. What You’ll Be Doing Building and deploying scalable AI features, agents, and services powered by LLMs. Prototyping and refining advanced prompt strategies and memory techniques. Contributing to backend and front-end components for real-time, interactive applications. Collaborating closely with product and infrastructure teams to ship impactful features. Driving clean More ❯