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Lead the design, development, and deployment of software solutions utilizing AI and LLM technologies for drug development. Collaborate with product managers and experts to create and iterate on innovative features, ensuring system scalability, security, and performance. Engage with emerging AI and software trends and act as an internal advocate for these technologies.
As an AI Engineer, you will develop and maintain AI systems for AAA games, implementing production quality C/C++ code, collaborating with designers to create engaging AI behaviors, and managing documentation and production schedules.
As an AI Engineer, you'll develop AI features from conception to integration, curate and process data for model training, fine-tune LLMs for specific applications, evaluate model performance, and provide technical leadership on AI practices.
As an AI Engineer at Kira Learning, you will enhance the student learning experience by developing features like autograding and personalized learning tools. You will also collaborate with design and product teams to ensure projects meet user needs and are efficiently executed, while maintaining high code quality.
As a Software Engineer II in the AI team at FloQast, you will design and deploy AI-driven applications, collaborate with cross-functional teams, and contribute to innovative solutions that transform the accounting industry, all while leveraging modern technologies such as Large Language Models.
The Network AI Engineer role involves utilizing advanced knowledge of Cisco routing and switching solutions for enterprise-level networks. Candidates will work with Python and automation frameworks, focusing on enhancing network device interactions and solutions.
The Lead AI Engineer will build and lead the AI team, focusing on developing agents to enhance the Neon platform for software development. This role requires extensive coding, mentoring engineers, and managing end-to-end delivery of projects. A strong background in AI tools, backend technologies, and experience in a leadership role is essential.
As a Senior Software Engineer, you will lead the design of a Generative AI platform, focusing on building APIs, ensuring scalability and reliability, and researching new AI techniques. You will collaborate with various teams and establish best practices for software engineering.
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As a Staff AI Software Engineer at Vendr, you will lead AI projects utilizing large language models, enhance marketplace tools, and integrate AI into various products. Your role will also involve building scalable AI infrastructure and mentoring team members.
The Senior AI Engineer will drive the development and implementation of AI technologies for a new game project, focusing on creating user-friendly AI systems for designers and artists. Responsibilities include optimizing foundational AI systems in multiplayer environments and mentoring junior engineers. The candidate should have extensive game industry experience, specialization in AI programming, and strong collaboration skills.
The AI Engineer will lead the development and deployment of an advanced AI system for data creation and verification. Responsibilities include model development, system integration, testing, documentation, and continuous improvement of AI applications alongside managing data processes.
The Senior Software Engineer will work on generative AI-powered features, integrating AI solutions to enhance website building. Responsibilities include collaborating with teams, improving developer processes, and developing AI-driven functionalities to optimize user experience.
As the Principal AI Engineer, you will lead the team in designing and implementing AI solutions for mental healthcare, focusing on LLM workflows, advanced prompt engineering, and AI infrastructure optimization. You will collaborate with cross-functional teams and mentor junior engineers to create innovative AI/ML applications that improve mental health outcomes.
In this role, a Senior Software Engineer will collaborate in an Agile team to develop AI-based shared services, mentor others, lead technical projects, and ensure adherence to coding standards. The engineer will contribute to design and implementation phases and improve productivity within the team.
The Senior AI Engineer will collaborate with a distributed team to develop innovative GenAI solutions, manage project expectations, conduct code reviews, and drive continuous improvement in development processes while adapting to emerging technologies.
Omada Health is seeking a Senior AI Engineer to lead the deployment of AI models and applications using state-of-the-art tools and platforms. The role involves designing, deploying, and managing end-to-end AI solutions with a focus on Generative AI and LLMs, monitoring model performance post-deployment, and collaborating with stakeholders to meet business needs. Candidate must have 5+ years of experience in AI deployment with proven business impact.
The AI Developer Growth role focuses on recruiting and managing a developer ecosystem for MyShell’s AI products, conducting market research on competing tools, and facilitating connections between core developers and the MyShell platform. Responsibilities include community management, creating tutorials, and providing product feedback.
The Senior AI Engineer will build applications focusing on GenAI solutions, working collaboratively with a distributed team. Responsibilities include implementing innovative AI applications, conducting code reviews, ensuring communication and quality standards, and refining the GenAI strategy while navigating ambiguity in a growing startup.
The AI Engineer will develop and optimize a conversational interface for Tellius, enabling users to interact with data insights and perform complex tasks seamlessly. Responsibilities include implementing Retrieval-Augmented Generation capabilities and utilizing frameworks like LangChain and LangGraph, while collaborating with cross-functional teams to enhance user experience.
This role involves leading the development of AI/ML technologies and platforms, designing architecture, implementing infrastructure, collaborating with various teams, managing project roadmaps, and driving the technical vision and strategy of AI/ML within the organization. Additionally, it encompasses mentoring engineering teams and ensuring continuous improvement in quality, security, and performance metrics.
The Senior Software Engineer - AI will design and develop AI and machine learning solutions for cybersecurity challenges, lead the end-to-end feature development process, provide mentorship to junior engineers, and collaborate with cross-functional teams to enhance product offerings.
As a Product Engineer on the AI Decisioning team, you will architect and build features for marketing products, collaborate with customers and cross-functional teams, and integrate machine learning models into user interfaces to drive actionable insights for marketers.
The AI Productivity Engineer role involves supporting the integration and implementation of AI and conversational platforms. Tasks include developing custom features, ensuring system stability, collaborating with IT, and providing user support while remaining updated with emerging technologies in AI and machine learning.
The role involves designing, developing, and maintaining user-facing applications and internal tools focused on AI integration in educational products. Responsibilities include coding, implementing UX/UI features, and collaborating with teams to enhance the user experience.
As an AI Build Engineer at Rackspace, you will work with a small team to build and market AI products using AWS technologies. You will develop initial platforms, finalize alpha products, and create demonstrable solutions in an agile environment, working both independently and collaboratively.
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