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Senior Software Engineer at Cognite builds and maintains production-grade AI and data services for industrial digitalization, focusing on low-latency APIs, LLM orchestration, and scalable system architectures.
Builds scalable enterprise software using Java, Spring, and modern databases, collaborating across global teams to solve complex problems and integrate AI/ML solutions.
Design, deploy, and manage secure on-prem and cloud-based AI platforms to productionise Data Science and AI products. You will implement infrastructure automation, MLOps pipelines, and compliance standards using AWS, Linux, and container technologies.
Senior backend engineer on Ocado's Mobile Robotics platform (OMRS), designing and operating cloud-native distributed services that power thousands of autonomous robots across 120+ sites, with a strong emphasis on using agentic AI tools and LLMs in daily engineering work.
Your Impact at LILA Join us in shaping the future of science! We are seeking Senior Software Engineers with full stack experience to join our Scientific System of Record Team (SSR), where you’ll collaborate with…
Your Impact at LILA We are seeking a Staff Software Engineer to join our Scientific System of Record Team and help build the next-generation AI-driven scientific platform. You will focus on developing user interfaces,…
Your Impact at LILA Lila Sciences is building the software platform that makes automated scientific discovery possible. At the heart of that platform is data: raw outputs from laboratory instruments, experimental model…
Lead architecture and development of an AI-driven scientific platform that integrates lab workflows, data capture, and analytics, using TypeScript, React, Python, and modern cloud infrastructure.
Your Impact at LILA We are seeking a Senior Software Engineer to join our Applied AI group and help build the next generation of our AI-driven scientific platform. In this role, you will design and optimize the backend…
Design and deploy production AI/ML architectures on Databricks, including GenAI, LLMs, and MLOps pipelines, while guiding customers and shaping product roadmaps.
Design and implement production-grade ML and GenAI systems on Databricks for enterprise customers, including RAG, agentic workflows, and MLOps pipelines.
Senior Solutions Architect designs and implements production-grade AI/ML workloads on Databricks, specializing in GenAI, LLMOps, and MLOps while advising enterprise customers and mentoring teams.
Design and implement production-grade AI/ML systems on Databricks for enterprise customers, specializing in GenAI, MLOps, and agentic architectures while advising on platform adoption.
Lead the creation and scaling of go-to-market enablement programs for Databricks' data and AI products, translating technical capabilities into field-ready assets and competitive positioning for global Solutions Architects and sales teams.
RDQ426R193 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical…
Configure and deploy AI-powered customer-service agents for real clients using Nextiva’s platform, focusing on prompt design, workflow logic, and onboarding while collaborating with sales and customers.
Builds and scales internal data pipelines, platforms, and AI-ready data layers for Cloudflare’s global network, collaborating with cross-functional teams to solve business-critical problems using Go, Scala, and ClickHouse.
Builds scalable AI/ML models and GenAI-powered applications for Cloudflare’s global data platform, collaborating with engineering and business teams to drive insights and operationalize data at petabyte scale.
Principal Partner Solutions Engineer at Cloudflare: a senior technical sales role driving partner adoption of Cloudflare’s SASE/SSE and AI infrastructure, architecting solutions, and enabling partners to sell and deliver secure, scalable Cloudflare-based services.
Architect and build Cloudflare’s next-gen AI/ML platform, unifying traditional ML and generative AI systems, including LLMs and autonomous agents, while driving end-to-end production infrastructure and cross-team collaboration.
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