Top Artificial Intelligence Jobs in Bucharest

The Information Risk Specialist is responsible for overseeing IT and operational resilience risks, ensuring risk frameworks are implemented, and driving a strong risk culture within ING Hubs Romania.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

Design and define end-to-end scalable, resilient AI architectures (data pipelines, model training/serving, retrieval, monitoring, governance), collaborate with delivery teams, contribute to proposals, mentor engineers, and evaluate emerging AI tools and technologies.

The Developer Relations AI will engage and educate the developer community, create technical content, advocate for the company's technology, and collaborate across teams to enhance developer experience.

The AI Filmmaker will create and edit short films using AI tools, collaborating with marketing to align content with brand messaging while managing multiple projects under deadlines.

As an AI Filmmaker, you will create and edit videos using AI tools, collaborate with marketing to ensure brand alignment, and manage multiple projects under tight deadlines.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

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

The Senior Python Engineer will develop and optimize data pipelines, manage workflows, implement CI/CD processes, and collaborate with cross-functional teams to enhance the AI & Data platform.

The Senior Python Engineer will design and optimize data pipelines, manage workflows using Airflow, and deploy applications in Kubernetes, contributing to a core AI & Data platform and collaborating with cross-functional teams.

The Lead AI Engineer will design and implement enterprise AI platforms, focusing on integrations, automation workflows, and performance optimization, ensuring secure adoption across the organization.

As an SEO & AI Search Specialist, you'll optimize website performance, improve search rankings, and drive traffic, focusing on technical SEO, content optimization, and data analysis while exploring AI-driven search opportunities.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

The Senior Data Engineer designs and maintains data pipelines and AI workflows, optimizing ETL processes for BI and LLM applications.

As a Customer Support Expert, you will provide customer support via social media and email, representing various brands while setting your own schedule and working remotely.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

This role involves designing advanced physics problems for AI training, ensuring problems have unique solutions, and using Python for simulations and models.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The AI Engineer will develop and maintain AI solutions utilizing Machine Learning and Generative AI, focusing on building LLM applications, implementing RAG pipelines, and integrating AI with enterprise systems.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

Lead AI architecture and implementation for financial services clients: support business development, enable and manage engineering teams, design scalable LLM/multi-agent systems, ensure AI safety, compliance, and monitoring, and translate business needs into technical specifications.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.