This role involves designing, building, and maintaining scalable data processing systems for CrowdStrike's Intelligence team. You will work on large-scale distributed systems, interact with analysts, and ensure smooth operations of the systems you develop.
This role involves building and maintaining large-scale data processing pipelines and systems for CrowdStrike's Intelligence team. Responsibilities include designing, prototyping, implementing, and deploying systems, as well as interacting with internal customers to gather requirements and provide training.
This role involves developing and maintaining production-grade Python services for Generative AI and RAG solutions. Responsibilities include building and integrating LLM workflows, implementing retrieval and evidence processing, and optimizing response quality and performance.
This role involves designing and governing high-stakes AI systems for public sector clients, with a focus on responsible AI, model evaluation, and production MLOps. The engineer will establish technical standards, lead incident resolution for model safety, and build reusable AI capabilities like fine-tuned models and agent architectures. They will also mentor senior engineers, advise on technical roadmaps, and act as a trusted advisor to government clients on AI strategy and deployment.
Build and ship end-to-end AI agent systems that transform how Multiverse operates, from context design and tool integration to evaluation and production operation. Work across the full stack to reinvent internal workflows and set the blueprint for AI-first companies. Use AI-assisted development with Claude Code and shape technical direction in a small, high-impact team.
This role involves deploying AI to automate scientific experiments in labs, working closely with researchers to integrate Claude into their workflows. Responsibilities include writing production code, developing evals, and creating reusable assets to scale impact.
As an Applied AI Engineer at Anthropic, you will serve as a technical advisor to tech-forward companies, helping them build on the Claude Developer Platform. You'll work hands-on with customer engineering teams, develop custom evaluation frameworks, and create technical resources to enable their success with Claude. You'll also contribute to the community through hackathons and webinars.
This role involves leading the development of AI features in a legal tech SaaS platform, focusing on designing and building ML models for document parsing, search, classification, and summarisation. You will integrate LLMs into product workflows, optimise model serving on AWS, and work closely with engineering, product, and QA teams in Scrum squads.
This role involves leading hands-on data engineering and software engineering delivery for a major airline's Data & AI team. Responsibilities include technical leadership, mentoring engineers, designing scalable data solutions on AWS, implementing CI/CD, and exploring AI-assisted development to improve engineering productivity.
This role involves building and deploying AI solutions within the Microsoft ecosystem, focusing on Azure AI, Copilot, and enterprise integrations. You'll work hands-on to develop, test, and maintain AI applications, ensuring they are secure, reliable, and add value to the business.
This role involves leading the design, development, and deployment of AI, Machine Learning, and Generative AI solutions. You will identify high-value AI use cases, prototype new solutions, and ensure they are scalable, secure, and aligned with responsible AI practices. Working closely with business and technology stakeholders, you will shape the AI technical roadmap and influence engineering best practices.
This role involves deploying, tuning, and managing multi-rack GPU clusters and high-performance networks, ensuring the smooth operation of AI systems from hardware to the orchestration layer. You will work closely with researchers and engineers to optimize system performance and support a mission-led, not-for-profit AI organization.
As a Founding AI Engineer, you will join a pre-seed startup focused on AI-powered video tools for large-scale media environments. You will work directly with the founders, own AI engineering end-to-end, and tackle greenfield challenges in a fast-paced, product-focused environment.
This role involves hands-on engineering to build, improve, and maintain production LLM systems. You'll focus on optimizing cost and latency, designing evaluation frameworks, and solving real production issues. The role offers the opportunity to influence product evolution and work closely with the Product team.
This role involves building production applications and APIs using Python and FastAPI, developing LLM, RAG, and AI agent solutions, and working with vector databases. You'll collaborate with engineers, architects, and client stakeholders to take GenAI POCs into production and scale them.
