You’ll be at the forefront of pioneering AI applications purpose-built for the modern news landscape. With access to an expansive dataset of 60,000+ articles ingested daily from over 50,000 global sources, you’ll push the boundaries of what Large Language Models can do, building features that enable users to see every side of the story and think freely.
Turing is seeking individuals with LLM expertise to tackle business challenges for Fortune 500 clients. As a key contributor within Turing's GenAI delivery division, you'll collaborate on impactful GenAI initiatives, working alongside a diverse team of Turing engineers. The organization has a track record of deploying cutting-edge multi-agent LLM and RAG systems, as well as open-source LLM deployments for major enterprises.
Lead search infrastructure engineering projects to improve search experience. Improve search system reliability, scalability and performance. Build the next generation search platform to power different products at Airbnb, including generative AI use cases. Mentor, advocate and support the career growth of individual contributors.
You will explore how intelligent systems like LLMs and agents can unlock entirely new ways of interacting with mobile apps. You will design and build prototypes that move beyond static screens - creating interfaces that adapt, respond, and even initiate based on user intent, context, and autonomy. This role is perfect for someone who thrives in ambiguity, moves quickly from concept to code, and sees the interface itself as a medium for exploration.
You'll be a key player in integrating cutting-edge Large Language Models (LLMs) into our client existing products, building intelligent solutions that will shape the future. Responsibilities include designing and developing Python-based applications that seamlessly integrate with public LLMs, designing and implementing secure and scalable cloud infrastructure, building and maintaining robust APIs, and prompt engineering to optimize LLM performance.
Be a key player in integrating cutting-edge Large Language Models (LLMs) into our client existing products, building intelligent solutions that will shape the future. Architect, develop, and deploy Python-based applications that seamlessly integrate with public LLMs like OpenAI, Cohere, and others. Design and implement secure and scalable cloud infrastructure for managing sensitive data. Master the art of prompt engineering to optimize LLM performance.
Shape the future of AI within Apptegy's product suite by embedding cutting-edge LLM capabilities directly into user experiences. Solve complex problems at the intersection of product, engineering, and artificial intelligence. Mentor an engineering organization, establish AI best practices, and see your strategic vision come to life, growing your leadership and technical expertise.
You’ll be part of a team that will design and implement the backend and intelligence layer of our AI-managed merchant network. This isn’t a forum plugin or a skin on top of a chat app. We’re designing a social fabric from scratch: matching merchants based on complementary offerings, shared pain points, and potential collaborations, then giving them the tools to grow together.
TELUS Digital seeks a talented AI Engineer, driven to implement autonomous, intelligent, and analytical AI solutions that address complex business challenges. Your role is essential in bringing sophisticated GenAI and Software Engineering concepts and architectures into tangible, production-ready applications, enhancing digital products through autonomy, intelligence, and real-time adaptation.
We're actively looking for a highly experienced Senior Staff AI Engineer to join our team. You will play a pivotal role in designing, building, and deploying cutting-edge AI systems that power mission-critical enterprise applications. This role is ideal for an individual who thrives in ambiguity, is deeply technical, and has a strong product sense paired with deep expertise in foundational models and enterprise AI systems.