Top Artificial Intelligence Jobs in Hungary

Lead design, build, and deploy scalable microservices and AI-driven contact automation for the Wise Assistant. Own intent detection, contact processing, routing logic, LLM/RAG integrations (AWS Bedrock), third-party AI agent integrations, performance and reliability optimizations, and mentor engineers while collaborating with cross-functional teams to automate customer support issues.

Create and edit video content, motion graphics, and animations for marketing and communications across digital and offline channels. Develop storyboards, visual concepts, and assets using Adobe Premiere Pro and After Effects and AI tools. Collaborate with creative leadership and global stakeholders to produce brand-focused short-form and campaign media.

Perform independent price verification, valuation adjustments, and fair value leveling for global spread products. Reconcile front-office marks with independent valuations, investigate discrepancies, prepare reports for senior management and regulators, and collaborate with traders, risk, and controllers to resolve valuation issues while ensuring robust controls and documentation.

Build and maintain an internal agentic-AI platform for engineers: design integrations (source control, CI/CD, observability), define agent architecture, evaluate and deploy models, improve onboarding and discovery, measure adoption, and drive developer enablement and safety practices.

Configure and maintain commercial systems and AI platforms (Salesforce, Claude, Zapier, n8n) to automate GTM workflows; build Salesforce Flows and automations; manage day-to-day admin tasks like user provisioning, reports, and data cleanup; create documentation and train teams on AI-driven workflows while ensuring policy compliance.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

Lead a senior engineering team to build production LLM systems at Wise, shaping the AI technical vision and collaborating across functions.

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.

Design and build LLM-based AI pipelines and prototypes (RAG, embeddings, vector DBs, knowledge graphs); evaluate multiple LLMs; run end-user interviews; integrate successful prototypes into CI/CD workflows and productize solutions to improve code development efficiency.

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.

Lead global marketing and corporate communications to define Multiverse's narrative, positioning, and GTM for AI/quantum products. Partner with the CEO, build and scale the marketing & communications team, own product messaging, PR, executive positioning, agency relationships, and measure impact on awareness and enterprise pipeline.

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.

The role focuses on creating and implementing Data & AI strategies, advising executives, and managing projects to drive AI adoption and business growth.

Lead design, development, and implementation of digital and AI solutions for Controllers. Collaborate with Finance and Technology, drive cross-functional initiatives, provide SME advisory, ensure scalable adoption, and promote digital upskilling with risk-and-controls focus.

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.

Provide EMEA-wide data protection legal advice and support: develop group-wide data compliance standards, review RoPA and DPAs, advise on cross-border transfers, handle incidents and audits, deliver training, monitor laws, and support related projects and digitization.

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

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

The role involves designing authentication flows for AI agents, building secure token systems, and creating high-performance server-side components while collaborating with frontend teams and improving system performance.