Top Artificial Intelligence Jobs in Bucharest

Lead short-term AI adoption program: build internal AI champions, create usage policies and training, support teams implementing AI tools, contribute to internal AI tool builds, and ensure responsible, secure deployment across distributed teams.

Short unpaid 112-hour hybrid practice program for ASE CSIE bachelor students to gain hands-on experience with data manipulation, analysis, BI, dashboards, and business insights using SQL, Excel, Looker Studio and Python, mentored by Data & Analytics professionals.

Design, develop, deploy, and scale AI-driven automation solutions using Power Platform, UiPath, cloud AI services, APIs, RPA, and data pipelines. Translate business requirements into secure, reliable workflows and AI agents, monitor existing solutions, guide stakeholders and citizen developers, and support training and adoption. Lead automation projects from proof of value through implementation while contributing to architecture, governance, data strategy, documentation, risk management, and continuous process improvement.

Produce production-ready AI-generated visuals and video for beauty and fashion campaigns, including packaging, product imagery and retail assets. Develop and refine prompts, collaborate with design and packaging teams, maintain prompt libraries and workflows, and ensure outputs meet brand, print and production standards.

Designs enterprise MCP architecture and reusable TypeScript/Node.js libraries, SDKs, templates, and integrations. Leads AI orchestration, context management, authentication, tool invocation, and distributed-system standards. Establishes reference architectures, evaluates MCP versus A2A and traditional APIs, drives cross-team technical alignment, mentors engineers, and ensures scalability, security, maintainability, and operational excellence across AI platform initiatives.

Create and evaluate realistic B2B sales scenarios for AI training, covering prospecting, discovery, qualification, solution selling, proposals, negotiation, forecasting, and deal progression. Assess account plans, buyer engagement, pipeline quality, deal risks, and commercial strategies involving complex enterprise stakeholders. Apply established sales methodologies and evaluation rubrics, refine work based on feedback, and support calibration and quality reviews. This is a short-term remote contractor assignment of up to nine weeks.

Design, build, and operate backend services for an AI-driven financial assistant. Own full SDLC, ensure performance, scale, resilience, and collaborate in small autonomous teams.

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

Lead end-to-end implementations of QVAC-powered decentralized AI solutions, coordinating clients, engineering, product, and legal. Translate business needs into deployment roadmaps, manage milestones and risks, ensure production readiness, and produce governance, documentation, and executive reporting across multiple concurrent projects.

Lead complex financial analysis, forecasting, and capital strategy for HPC and AI business. Advise leaders on strategic decisions, drive process improvements and GAAP adherence, represent business in cross-functional planning, and mentor finance analysts.

Design, build, and maintain production-grade Generative AI helpdesk automation using N8N and cloud infrastructure. Implement workflow orchestration, CI/CD, infrastructure automation, observability, and troubleshoot end-to-end integrations with Jira, Slack, and other systems.

Own and scale the AI connector ecosystem, including MCP servers, third-party APIs, and app integrations. Define roadmaps, specifications, evaluation frameworks, success metrics, and build-versus-buy decisions. Partner with AI engineers on prompts, structured outputs, agentic workflows, testing, and observability. Monitor performance through Mixpanel and Langfuse, run experiments, manage launches, and communicate technical priorities across engineering, growth, data, and billing teams.

The Backend Engineer will develop and maintain features for Restream web services, design backend APIs, ensure infrastructure resilience, and contribute to a collaborative team environment.

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 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 AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

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

Lead the design, build, and deployment of AI-powered agents, workflows, and integrations for global marketing. Evaluate buy-vs-build, integrate platforms (HubSpot, Salesforce, Meta, Google, LinkedIn), optimize AI economics, and measure ROI while collaborating with marketing teams to automate and improve campaign execution and content localization.

Build and operate the internal AI platform used by 600+ developers: secure AI coding environments, AI-assisted CI and agentic AWS workflows. Own products end-to-end, improve developer experience, ensure reliability/observability/cost-awareness, participate in on-call, and capture reusable patterns and templates for broad adoption.

Lead design and governance of ICON's end-to-end AI platform, multi-agent frameworks, and supporting services. Define cloud-native, scalable architectures, integration patterns, APIs, and standards; lead solution architecture, design reviews, and mentor engineering teams to deliver secure, high-performing AI/ML production systems.

Lead the AI function, define roadmap, and build production generative AI systems (voice, chat, document). Split time between hands-on engineering (~40%) and leading the AI team, establishing RAG/agentic workflows, evaluation, observability, and best practices. Collaborate with product and engineering to deliver reliable, user-focused AI features.

Lead the design and build of a reproducible AI media production platform: architect generative pipelines, train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), deploy internal GPU-based tools, automate QC against product references, and partner with design to own roadmap and enable non-technical teams.

Lead the architecture and implementation of a production-grade generative AI media platform. Build reproducible, versioned pipelines, train LoRAs, integrate control techniques (ControlNet, IP-Adapter, inpainting), automate QC against product references, deploy internal tools, and partner with design to own the technical roadmap and enable creative teams.

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