Top Artificial Intelligence Jobs in Bucharest

Design, build, evaluate, and deploy LLM-driven features and AI systems. Collaborate with engineering and product teams to implement RAG, monitoring, CI/CD, and scalable cloud ML deployments while continuously improving model performance.

Develop, optimize, and validate AI algorithms for advanced 3D cardiac medical imaging. Work on segmentation, reconstruction, mesh processing, deep learning model training and validation using clinical CT/MRI/echocardiography data. Collaborate with multidisciplinary teams, support regulatory evidence generation, improve algorithm robustness and performance, and mentor junior engineers.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

The AI Video Editor / Motion Designer creates AI-driven video content for various platforms, optimizing for conversion rates through storytelling and technical skills in video editing and AI tools.

The AI Video Editor / Motion Designer creates AI-driven videos to enhance advertising effectiveness. Responsibilities include video production, concept development, utilizing AI tools, performance analysis, and collaboration with team members.

The Generative AI Design Specialist creates photorealistic visuals for marketing, leveraging AI tools and workflows while conducting visual trend analysis and quality control.

The Generative AI Design Specialist will create high-fidelity AI-generated visuals for marketing campaigns, ensuring consistency and adherence to brand guidelines. Responsibilities include designing workflows, analyzing trends, training models, maintaining quality control, and developing best practices. Collaboration with production teams is key.

As a Senior Technical Product Manager at LumiMeds, you will lead the development of AI-powered healthcare products, optimize e-commerce and clinical workflows, and ensure technical and commercial success of the platform.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

Build and maintain enterprise web applications using .NET and Angular, participate in full SDLC, integrate AI services and APIs, leverage AI-powered development tools and LLM/RAG solutions, contribute to architecture and technical decisions, collaborate with clients and delivery teams, and ensure compliance with enterprise/regulatory standards.

Design, build, and operate the infrastructure and platform services that power AI agent workflows in production. Ensure reliability, scalability, observability, and security of model-serving, orchestration, and compute layers. Build APIs, SDKs, IaC (Terraform), CI/CD pipelines, monitoring and incident-response processes, and collaborate with AI, data, and engineering teams to productionize agent prototypes.

Lead end-to-end production of vertical short drama series (1-2 series concurrently). Create scripts, direct, edit, and finish episodes (~10-15 episodes, ~1 min each), use company AI copilot for casting and consistency, collaborate with AI/content/tech teams, and iterate rapidly on performance-driven storytelling.

The Gen AI Adoption Lead will help integrate AI into engineering workflows, lead training sessions, and develop playbooks for GenAI adoption across teams.

Create short-form vertical videos for TikTok, Instagram Reels, and YouTube Shorts, using AI tools and editing techniques to produce serial micro-dramas.

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.

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.

The Senior Python AI Software Engineer designs and builds applications using Python, collaborating with teams and optimizing application performance, while mentoring others in the development process.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

Design and build scalable ETL/analytics pipelines and curated datasets from multiple ERPs, create SQL-based reporting and BI dashboards, collaborate with stakeholders to define KPIs, and ensure multi-tenant, performant, documented data products that scale across customers.

Design, develop, and maintain Python and Go microservices for data ingestion and processing; integrate backend services with BigQuery and cloud data platforms; implement REST APIs; build scalable data processing pipelines using Apache Beam and Dataflow; test and troubleshoot distributed systems; review designs, estimate work, mentor junior developers, and drive performance and reliability improvements.

Build and deploy AI features, fine-tune and maintain language and multimodal models (HuggingFace), create AI automations and agents, develop tools/frameworks, guide dataset creation, run R&D experiments from POC to production, and monitor model performance.

Design and build on-premise, containerized backend microservices and orchestration layers that enable LLMs and autonomous agents to interact securely with enterprise systems. Implement secure API gateways, vector DB connectors, high-availability and auditable data access, RBAC and PII/ITAR protections, and enterprise-grade logging, tracing, and monitoring while operating within structured delivery and audit environments.

The role involves reviewing AI-generated outputs, analyzing multimedia, and providing culturally relevant content feedback. Strong analytical skills and attention to detail are required.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

The role involves designing AI agents for operations, developing ML models, and integrating solutions into workflows while collaborating with teams.