Top Artificial Intelligence Jobs in Budapest

The AI Platform Lead will design and develop a scalable AI platform, manage a team of developers, and collaborate with cross-functional teams to ensure optimal performance and security of AI models. Responsibilities include maintaining back-end services, overseeing front-end development, and adhering to cloud security best practices.

The role involves overseeing AI projects, supporting the Founder in decision-making, tracking project execution, managing relations with stakeholders, and communicating effectively with senior management. The advisor will also be involved in the strategic alignment of company initiatives and ensuring efficiency across departments.

The Senior AI Consultant/GenAI Product Owner will lead AI-driven transformation in financial services, defining AI-powered banking solutions, guiding C-level stakeholders, and overseeing the development of GenAI solutions. Responsibilities include project planning, delivering AI and data solutions, and enhancing AI offerings in the financial sector.

The Senior Data Scientist will deliver end-to-end Data Science projects with an AI product mindset, engage with clients to identify business needs, lead technical discussions, collaborate with teams to integrate AI/ML solutions, and mentor junior team members while staying updated on industry advancements.

The Senior Systems Engineer will research AI/ML applications, generate technical requirements for IoT hardware/software, perform feasibility studies, prototype high-value innovations, and mentor team members. Responsibilities include collaborating with product marketing and customer engineers, documenting requirements, and providing technical support to internal teams.

The Senior Data Scientist will design, evaluate, and optimize AI models and datasets to develop scalable AI solutions that empower SMBs. Responsibilities include model evaluation, data preparation, prompt engineering, and deployment of LLMs while collaborating across teams. The role focuses on solving real-world AI challenges and driving business impact through innovative solutions.

The Technical Product Manager at Dataiku is responsible for defining user stories and technical specifications for the Data Science Platform, focusing on generative AI and machine learning. This role involves managing the product backlog, coordinating delivery of features, and collaborating with cross-functional teams, ensuring alignment between market requirements and engineering capabilities.

As a Staff Software Engineer specializing in Generative AI, you will design and develop LLM-based applications, utilizing frameworks like LangChain. Responsibilities include performance monitoring, system architecture, mentorship, and agile delivery to produce scalable AI solutions.

The Senior Product Manager of AI Platform at Diligent will lead the strategy and execution of AI capabilities, develop reusable services for app integration, and maintain AI governance frameworks. The role involves collaboration with cross-functional teams and managing platform performance metrics to enhance AI-driven product features.

The Senior Python Engineer will manage technical objectives and provide leadership in developing data pipelines, AI/ML systems, and software solutions. Responsibilities include mentoring junior engineers and collaborating with business teams on complex projects.

Analyze requirements, design and build scalable AI-driven products, and work collaboratively across teams to solve real-world problems. Focus on custom solutions to enhance productivity using the latest technical advancements in AI.

As an Application Developer, you will design, develop, and support applications for business success, focusing on AI implementation. Responsibilities include developing high-quality applications using SQL and Python, providing functional support, leading projects, and integrating APIs. You will work with business partners to gather requirements and enhance application performance.

As a Staff Software Engineer for Generative AI, you will develop, maintain, and optimize LLM-based applications while working with cloud platforms and microservices architecture. The role involves mentoring junior engineers, collaborating on agile projects, and ensuring quality software delivery. You will be responsible for architecting scalable solutions, maintaining CI/CD pipelines, and leveraging advanced techniques in AI frameworks.

As a Software Engineer in the AI Innovation Team at Instructure, you will develop AI-driven features for Canvas LMS and other products. This role involves collaborating on design and implementation, prototyping, and contributing to technical reviews, all aimed at enhancing education through innovative technology. You will be responsible for integrating LLM capabilities and ensuring ethical AI usage.

The AI Platform Engineer will design and implement APIs and services for LLM-powered features, develop scalable AWS infrastructure, create developer tooling, and collaborate with teams to enhance the online learning experience.

As a Senior Backend and AI Engineer at Aircall, you will design and implement AI features and contribute to the development of business-critical services using a variety of back-end technologies. Your role includes mentoring teammates, engaging in requirements analysis, and optimizing product performance, all while ensuring quality and security in solutions deployed on AWS.

The AI Application Engineer will design, develop, and deploy AI-powered applications to solve real-world issues. Responsibilities include AI model implementation, data preprocessing, system integration, and collaborating with cross-functional teams. The role also involves prototyping, deploying solutions, and staying updated with AI advancements while ensuring robust testing and continuous improvement of AI applications.