Top Artificial Intelligence Jobs in Bucharest

Design and develop Adobe's Agent Orchestrator Platform, focusing on orchestration capabilities in a microservices environment. Optimize workflows and mentor team members.

Design and develop Adobe's Agent Orchestrator Platform, optimizing agent workflows and mentoring team members on Python best practices.

Develop and design Adobe's Agent Orchestrator Platform, optimize workflows, and mentor team members in Python and AI orchestration.

Lead design, development, and deployment of machine learning models for Adobe's Agent Orchestrator Platform, driving innovation in AI systems and MLOps standard methodologies.

Design and develop Adobe's Agent Orchestrator Platform, focusing on AI orchestration, and mentor team members while ensuring system performance and scalability.

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

Design and implement AI architecture within an AdTech platform, manage ML model lifecycle, and ensure data strategy governance. Leading a centralized Data/AI team with a focus on cloud MLOps and ML model deployment.

Lead a small engineering team in developing AI-driven workflows and systems, prioritizing problem ownership, collaboration, and innovation in a fast-paced environment.

Lead a small team of engineers to develop and maintain a B2B SaaS platform for AI-driven video content processing, focusing on system architecture, mentoring, and cross-functional collaboration.

Lead a small team of engineers in developing ClipCrop, an AI-first platform for video content management. Design workflows and systems integrating AI, manage project outcomes, and mentor team members to deliver impactful results.

Lead a small team to enhance the Web SDK while integrating AI solutions to solve problems and improve system design. Own project outcomes, mentor engineers, and collaborate across product teams.

Lead a small team to design and implement AI-driven production systems for a SaaS content intelligence platform, ensuring performance and operational excellence.

Lead a team of engineers to develop production software for a B2B SaaS platform, focusing on APIs and analytics. Collaborate with stakeholders and ensure performance and availability goals are met.

Lead the development and scaling of technology-enabled Safety/Pharmacovigilance solutions, manage cross-functional teams, and drive innovation with customers and partners.

The Head of AI will lead applied-AI projects, design large-scale systems, prototype workflows, and manage a team of AI engineers, ensuring integration with cybersecurity processes.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

Enable internal teams to design, build, and scale AI-powered automations using n8n, focusing on requirements discovery, workflow implementation, and lifecycle ownership.

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

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

The Lead AI Engineer will develop and optimize AI workflows using large language models, collaborate on project objectives, and ensure seamless integration of AI technologies across the project lifecycle.

The Lead AI Engineer role requires overseeing AI project lifecycles, optimizing AI workflows using LLMs, and collaborating with cross-functional teams to align AI solutions with business objectives.

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.