As a GenAI Optimization Engineer, you will design, scope, implement, and tune performance features for Generative AI use cases in the MAX framework. You will also plan and lead cross-functional projects spanning multiple teams and domains. You will also contribute to the MAX tech stack across multiple languages, including Mojo, Python, and C++.
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.
As a Machine Learning Engineering Manager at Fieldguide, you will combine your expertise in ML and generative AI with strong people leadership to drive our most critical AI initiatives. You’ll directly manage a team of ~5 machine learning engineers working across multiple product teams, guiding them in delivering first-of-their-kind ML features for the audit and advisory industry.
As a Staff Machine Learning Engineer, you will lead the development of next-generation AI-driven features, transforming the audit and advisory industry through cutting-edge generative AI solutions. You’ll focus on applying advanced ML and LLMs to solve complex problems for our customers, while guiding the technical direction of our ML team in a high-growth startup environment. This role is both strategic and hands-on, setting best practices for our generative AI efforts.
This role is for a highly skilled and experienced Software Engineer ready for an adventure. You'll unlock the platform's potential, using Generative AI and Elixir/Phoenix alongside brilliant engineers. Workera wants each engineer to be empowered and care about the users and a delightful user experience. You’ll design and build LLM-powered applications from ideation and system design through to deployment.
Architect, lead, and drive strategic initiatives for robust, scalable backend infrastructure and microservices. Provide technical leadership and mentorship, while optimizing system performance, reliability, and scalability using tools like Docker, TypeScript, MongoDB, and generative AI technologies.