Top Artificial Intelligence Jobs in Bucharest

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

The AI-First Full-Stack Engineer will lead full-stack development using Node.js and Next.js, integrating AI workflows and orchestrating Claude agent teams for efficient engineering processes, ensuring compliance with healthcare standards.

As an AI-First Frontend Engineer, you will develop high-performance, AI-integrated user interfaces for telehealth applications, manage team workflows, and optimize web performance.

Lead AI product strategy and execution, manage data migration initiatives, oversee Agile processes, and collaborate with stakeholders to drive product success.

The Senior Solution Manager leads product strategy for AI solutions, oversees data migration initiatives, and collaborates with teams on AI architecture and product delivery.

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.

The Engagement Manager leads AI implementation initiatives, engaging with clients, coordinating technical delivery, managing stakeholders, and overseeing project execution from initiation to production deployment.

Design, build, and maintain Python-based backend services and production-grade LLM applications. Implement end-to-end RAG, vector search, multi-agent systems, secure MCP servers, event-driven architectures, and monitoring. Improve prompts, deploy at scale, and collaborate across teams to optimize performance, reliability, and security.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

Identify and validate high-value AI use cases for financial services, lead discovery workshops, build ROI-driven business cases, map and redesign workflows, define technical requirements and acceptance criteria, prototype solutions with no-code tools, implement AI governance and ontologies, and ensure business-aligned delivery and compliance.

Lead Full Stack Engineer owns design-to-production of an AI-first repossession and remarketing platform. Shape architecture, build scalable resilient services, integrate LLMs/GenAI for validation and document processing, drive technical decisions, reduce technical debt, operate production systems, and mentor engineers while working in cross-functional agile teams.

Build and own AI/LLM-assisted product features in Ruby on Rails: integrate LLM APIs, design robust backend systems with tests, fallbacks, and safeguards, improve reliability/latency/cost/security, and debug production issues.

The Product Manager - AI will define AI product direction, collaborate with engineering, and solve complex user problems in payroll and compliance workflows.

The Head of Performance will lead performance marketing strategies, focusing on optimizing paid acquisition channels and utilizing AI tools for data-driven decisions.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead AI productivity platforms, ensuring enterprise-wide adoption and compliance. Oversee platform governance, integration, and performance measurement while driving AI operational models and risk management in a regulated environment.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

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.

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

As a Forward Deployed Engineer, you'll bridge customer needs and OPAQUE's AI platform, designing production-grade solutions and managing deployment integration.