Top Artificial Intelligence Jobs in Bucharest

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

As a Product Designer, you will identify business problems, conduct user research, create elegant user interfaces, and collaborate with teams to transform concepts into successful designs.

The Senior Machine Learning Engineer will design and implement ML pipelines, optimize LLM performance, and collaborate on AI infrastructure for cost-efficient solutions.

Evaluate and annotate content based on structured guidelines to ensure quality and consistency in AI training datasets.

Build backend services to integrate AI capabilities within payroll workflows, collaborating with ML engineers to develop AI-powered tools.

As a Lead FullStack Software Engineer, you will redesign core workflows and implement scalable systems using AI to enhance operational efficiency, while mentoring and providing technical leadership to your team.

The AI/ML Engineer designs, develops, and deploys machine learning models and AI solutions, collaborating with cross-functional teams to drive automation and advanced analytics while ensuring data quality and model performance.

As a Tech Lead/Software Architect, you will shape technical direction, lead design decisions, ensure system architecture, and mentor engineering teams while enhancing code quality and scalability.

The Senior AI Engineer will develop an enterprise-grade Agentic Framework for automating production lifecycles in heavy industries, ensuring quality and scalability while leading from design to implementation.

The Senior Python AI Software Engineer at Nearform designs and builds applications, optimizes performance, collaborates with clients, and supports various projects, focusing on Python and AI solutions.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

Design and maintain backend services, build React interfaces, architect AI-powered pipelines, and ensure performance of async data processing. Collaborate with teams and set best practices.

The AI Engineer Tech Lead will drive technical development of a Graph AI platform, improving the relationship graph and building AI-driven systems.

The Engineering Manager leads a senior team on an automotive marketplace product, focusing on technical delivery, project ownership, and strategic company initiatives involving AI applications and cloud technologies.

Develop a highly optimized inference framework for AI networking. Work on innovative products in a dynamic environment with a focus on performance and scalability.

The Ecosystem Growth Manager will drive the onboarding of GPU providers, AI builders, and strategic enterprise partnerships to enhance the AIVM ecosystem, addressing Web3 challenges and establishing a decentralized infrastructure.

Responsible for lead generation and qualification in the Web3 and AI sector, collaborating with business development and marketing teams to identify prospects and track progress in a CRM system.

The AI Multimedia Designer will create AI-generated video ads and UGC-style visuals for paid channels, collaborating with strategists and buyers to enhance content performance and drive conversions.

The AI Automation Engineer designs and maintains AI-driven automation solutions while collaborating with stakeholders to create scalable technical solutions that enhance enterprise business applications.

Design and deploy AI-powered HR solutions, integrating and automating HR workflows. Ensure compliance, governance, and drive adoption of tools among HR team members.

Seeking a Lead FullStack Engineer to develop and maintain a high-traffic AI-powered car market platform using various technologies and AI frameworks.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Design, build, and deploy generative AI solutions and APIs that integrate with data platforms. Implement RAG and prompt strategies, automate data workflows, ensure data quality and governance, and document integrations while collaborating with data, IT, and business teams.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.