Top Artificial Intelligence Jobs in Romania

Lead international commercial build for data, engineering and AI: own data foundation, shared engineering pool, solution architecture, AgentOps, AI evaluation, model routing and CIO platform integration to deliver production-grade, governed AI and data products.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Lead management and optimization of Crayon and Clozd platforms, integrate them with CRM and sales enablement systems, drive cross-functional adoption, execute win-loss programs, monitor platform metrics, and deliver actionable competitive and buyer insights to improve win rates and product roadmaps.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Open unsolicited applications for IT professionals across software development, DevOps, cloud, data migration, ECM, QA, AI, data analysis, project management, and IT operations. Join the talent pool to be considered for future roles; strong communication, technical background, problem-solving, teamwork, and growth mindset expected.

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.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Join the AI & Innovation team to build and maintain full‑stack Python services, integrate ML/LLM models into production, develop scalable APIs and data pipelines, optimise AWS infrastructure, and write unit/integration tests to ensure reliability for high‑traffic jobseeking products.

Create high-volume, high-quality marketing content using generative AI and AI agents. Produce video, image, and social content, develop attention-driving campaigns, track AI and culture trends, and iterate quickly with the marketing and founding team.

Build features, prototypes, and demos using modern AI coding tools and agents; iterate prototypes into reliable, scalable production; direct and evaluate AI coding agents; collaborate closely with founders and senior engineers; explore and improve AI development workflows to accelerate product delivery.

Lead AI-native engineering: build and ship production-grade features, convert AI-assisted prototypes into reliable systems, own architecture/security/quality, direct AI coding agents, define engineering standards, and work closely with founders on product and technical strategy.

Provide EU-focused counsel on AI and privacy regulation (EU AI Act, GDPR, DSA); draft policies, DPA and contractual terms; translate legal requirements into technical and operational controls; advise product, engineering, and go-to-market teams; liaise with regulators and manage compliance programs and risk assessments.

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.

Design, build, and maintain automated test suites, evaluation scenarios, metrics, and datasets for AI-powered features. Automate QA workflows with Python and CI/CD, test APIs and ML model outputs, define quality strategy and acceptance criteria, create CI/CD quality gates, mentor teams, participate in code reviews, and document findings.

As an AI Operations & Automation Specialist, you will optimize finance and HR operations through automation, AI implementation, and process improvement while ensuring data integrity and supporting various teams in the company.

Develop, deploy, and optimize Python-based Generative AI and Agentic AI applications. Build LLM integrations, design autonomous agent workflows, implement retrieval pipelines (RAG), prompt engineering, and integrate with enterprise APIs. Collaborate with cross-functional teams, apply best practices for testing, monitoring, and deployment, and leverage vector databases and Elasticsearch where applicable.

Design and deliver AI-enabled product solutions for financial services clients, acting as product owner to define scope, prioritize value, and simplify processes. Use AI daily to speed analysis, design, documentation, and testing while collaborating with cross-functional teams to build reusable, UX-first features and reduce delivery complexity.

Maintain and enhance SE Power BI dashboards, validate data integrity, support Salesforce (including Vivun) triage and basic admin, prepare data for quota planning, document processes, and apply AI-assisted tools to streamline reporting and operational workflows.

Play modern AAA games to capture, record, and annotate structured gameplay data per instructions. Complete specific in-game tasks, troubleshoot recording issues, organize and securely transfer files, and report anomalies. Flexible freelance contractor role, fully remote.

The Data Engineer role focuses on developing predictive models and enhancing data engineering practices to support business objectives. Responsibilities include writing clean code, model evaluation, and collaboration with a global team to improve reporting and campaign management.

Design and deploy production-grade AI solutions to improve automotive inventory discoverability, generate scalable vehicle content, cluster search intent, optimize ranking signals, identify high-potential inventory combinations, measure impact via experimentation, and collaborate with product and engineering teams to operationalize SEO and GEO initiatives.

Develop and maintain scalable backend systems and REST APIs in C#/.NET, optimize SQL Server databases, troubleshoot production issues, and use AI-assisted development tools to accelerate delivery while maintaining code quality.

Lead cloud and AI architecture: define scalable, secure system designs, technology stacks, and workflows; guide DevOps and engineering teams; promote AI/ML best practices; mentor developers and ensure delivery alignment with business goals.