Top Artificial Intelligence Jobs in Hungary

Develop and deploy production-ready Generative AI applications using LLMs and RAG. Integrate OpenAI/AWS Bedrock APIs into systems, collaborate with data engineering, tune performance, monitor deployments, and document solutions for technical and non-technical stakeholders.

Lead end-to-end client engagements to measure and grow brokerage visibility in LLMs: set up LLM visibility metrics, analyze where partners appear versus competitors, define and execute growth experiments (content, video, social), and deliver clear, actionable reporting and strategy. Own scoping, recurring reporting, and client relationships on a fast-moving, data-driven team.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Build and test AI-agent features and internal agent frameworks for a proactive cybersecurity platform. Implement and integrate generative AI systems (agents and RAG), stay current with AI research, and apply innovations to product development and evaluation within a security-focused environment.

Own and scale AI enablement: build core orchestration, LLMOps/MLOps platforms and governance, integrate generative AI into product, optimize cost/latency, run PoC-to-production delivery, upskill teams, standardize tooling and vendor strategy, and track adoption/ROI metrics.

The Sr Engineer - Full Stack will develop applications using Java/Kotlin, build UIs with React/Next.js, and create scalable APIs, while collaborating with business partners and utilizing Agile principles.

Lead design, build, deploy, and maintain production-grade AI/ML systems (LLM-powered and classical models). Provide hands-on technical leadership, architecture decisions, implementation, testing, observability, and operational readiness. Collaborate with data scientists, product, platform, and security teams to deliver scalable, secure, maintainable AI applications and mentor 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.

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.

The AI Platform Architect leads enterprise architecture for cloud and hybrid platforms, defines API and data governance strategies, oversees AI/ML infrastructure, and mentors engineering teams while ensuring compliance and security.

The Principal Software Engineer will lead AI initiatives, shape engineering architecture, mentor engineers, and guide technical decisions in a sizable organization, focusing on AI governance and platform design within AWS.

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

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 AI Video Editor / Motion Designer creates AI-driven videos to improve conversion rates through creative storytelling and motion design using advanced video editing tools.

The Generative AI Design Specialist creates AI-generated visual content for marketing, focusing on technical quality and consistency, while collaborating with production teams.

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

Design, build, deploy, and maintain production-grade AI/ML applications (LLM-powered and classical). Write well-tested Python code, integrate models and frameworks, build APIs/services and data pipelines, support CI/CD, monitoring, and production operations. Collaborate with data scientists, platform, security, and product partners to evaluate tradeoffs, optimize performance, and ensure secure, reliable, scalable AI systems.

Design, prototype, and productionize specialised LLMs by working with model weights, attention mechanisms, and efficient architectures. Build reusable Python libraries, run experiments and evaluations, and deploy models on GPU-accelerated AWS infrastructure (SageMaker/EC2/S3). Contribute to research-to-production lifecycle, maintain evaluation frameworks, optimize infrastructure for cost and velocity, and collaborate on the team's research agenda while mentoring junior engineers.

The AI Engineer will design and develop AI solutions, focusing on proof of concepts using GenAI platforms, manage projects, and ensure Agile delivery.

Join the Compliance team to own AI and e-commerce legal workflows: GDPR and data protection documentation, AI systems inventory, risk assessments, product/feature reviews, contract and IP issue handling, TOS/privacy updates, and monitoring legal developments. Work with the Ethics & Compliance Officer and review uncensored AI content as needed.

Manage and optimize the GTM technology stack (Salesforce, Marketo, Outreach, Gainsight), lead integrations, automate processes, support and train GTM teams, build reports/dashboards, manage vendors, ensure data governance and run GTM systems projects from design through deployment.