Top Artificial Intelligence Jobs in Budapest

As a Senior Software Engineer, you'll lead design and development of scalable components for the Wise Assistant, innovate with AI, and mentor engineers.

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.

Lead storytelling and communications for Pfizer's AI-native engineering transformation: create strategic narratives, run high-impact live events, produce flagship content, build a communications operating model, manage budget and agency relationships, and lead and develop a storytelling team to drive builder engagement and executive confidence.

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.

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

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.

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

Lead and deliver petrophysics, seismic petrophysics and rock physics consulting projects and training. Develop best-practice workflows, support sales with technical proposals, publish and present technical work, and build customer relationships to grow consulting services and software adoption.

The Senior Data Scientist will own AI projects, prototype LLM solutions, evaluate AI performance, and mentor junior data scientists.

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.

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.

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.

Design, build, deploy, and operate scalable, secure AI and LLM-based platform services on AWS. Develop reusable libraries, infrastructure as code, CI/CD pipelines, and observability. Collaborate with applied scientists and product teams to productionize AI capabilities, ensure security and privacy, and drive platform-wide best practices for reliability, cost efficiency, and governance.

Own product vision, roadmap, and strategy for AI digital platforms; manage end-to-end content operations and governance; define OKRs/KPIs; translate business needs into user stories; collaborate with UX/UI, development, analytics, and stakeholders; improve UX and lead planning, testing, and releases.

Evaluate AI coding agents end-to-end, judging usefulness, high-level correctness, engineering judgment, and quality of explanations. Provide opinionated feedback, distinguish response quality levels, and help define standards for great AI-developer interactions. Participate in take-home evaluation and interview as part of a rolling, project-based engagement.

Work remotely as a Hungarian (hu_HU) C2 speaker to conduct voice-mode conversations with AI chatbots, pursue predefined goals, and rate interactions. Use your smartphone for voice input and a laptop to complete written evaluations in English, following detailed project guidelines and confidentiality rules.

The Principal Data & AI Consultant leads data-related projects, manages revenue targets, supports sales efforts, and coordinates with teams to deliver integrated AI solutions while ensuring client satisfaction and account growth.

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.

We seek a Senior Python Engineer to manage technical objectives, lead development on data pipelines and AI/ML systems, and mentor junior engineers.

Lead end-to-end data science projects with a product-oriented mindset: engage clients, translate business goals into technical solutions, design and deploy ML/LLM models, mentor team members, drive pre-sales technical discussions, and keep solutions cutting-edge through research and cross-functional collaboration.

Design, architect, and deliver production-grade LLM and classical ML systems. Build and optimize RAG pipelines, distributed GenAI workloads on Databricks, and scalable LLM services. Implement CI/CD, monitoring, evaluation frameworks, lead client technical decisions, and mentor team members.

Work with clients to measure and grow their visibility inside LLMs: define metrics, monitor mentions and sentiment, analyze LLM behavior, turn analytics into actionable content and strategy, support reporting and client communication alongside a senior consultant.

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.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.