Top Artificial Intelligence Jobs in Bucharest

Partner with customer Analytics/BI teams to implement data integrations, build reusable pipelines and APIs, configure ML models, advance reinforcement-learning pipelines, and drive BrazeAI product adoption and customer success.

As a Product Designer, you will identify business problems, conduct user research, create elegant user interfaces, and collaborate with teams to transform concepts into successful designs.

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 Account Executive is responsible for the full sales cycle for enterprise accounts, developing business opportunities, and closing deals, particularly in cybersecurity.

The Senior AI Engineer will develop autonomous AI systems, architect multi-agent collaborations, lead AI projects, and optimize existing systems, driving innovation in AI-driven solutions.

The role involves providing solutions consulting, driving business development, and supporting proposal development. Candidates must leverage Honeywell's product offerings, engage with customers, and analyze market trends while fostering strong relationships.

Lead backend code development, oversee team activities, conduct code reviews, and contribute to software design and implementation while ensuring high quality standards in a fast-paced environment.

Lead the design and development of AI agents, microservices, and enterprise integrations, ensuring quality delivery and fostering team growth.

As a Senior Full-Stack Developer, you'll design intuitive web applications and integrate with engineering tools, enabling AI capabilities while ensuring software quality and craftsmanship.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

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.

Responsible for designing and maintaining an AI orchestration platform, overseeing AI solutions' integration, governance, and continuous improvement in collaboration with various stakeholders.

The position requires leading the design and implementation of AI and automation solutions, ensuring alignment with enterprise architecture standards and driving digital transformation in banking.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

Responsible for training large-language models by reviewing, ranking, and improving AI-generated code. Requires strong software engineering skills.

As a Legal Engineer, you'll design and implement AI-powered legal workflows, engage clients to optimize legal processes, and enhance product feedback for continuous improvement.

Review, rank, and improve AI-generated code to train LLMs: compare implementations, repair/refactor for correctness, efficiency, and style, and provide detailed feedback for RLHF pipelines. Work asynchronously as a remote contractor, injecting ratings, edits, and test results to improve model outputs.

Evaluate and improve AI-generated code: compare and rank snippets, repair and refactor for correctness, efficiency, and style, and inject detailed feedback and test results into the RLHF training pipeline as an asynchronous remote contributor.

Review, rank, and improve AI-generated code across languages, focusing on Ruby. Repair/refactor code, provide detailed written justifications, and inject ratings/edits/test results into the RLHF pipeline to help train models.

Evaluate, rank, repair, and refactor AI-generated code to improve correctness, efficiency, and style; provide detailed written feedback for RLHF pipelines; and help maintain the code-evaluation and training workflow remotely.