Top Artificial Intelligence Jobs in Krakow

Lead hands-on applied AI work: prototype demos, accelerate customer POC-to-production, perform technical onboarding, optimize distributed training and inference on GPU infrastructure, research and implement emerging ML techniques, and feed actionable product feedback while producing reusable assets and benchmarks.

Build and maintain the marketing automation backbone and AI agent integrations. Implement event tracking, data pipelines, CRM customizations, and cross-channel workflows. Prototype agent infrastructure, connect APIs/webhooks, automate go-to-market tasks, and produce analytics and attribution to support growth and experimentation.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

Produce narrative-driven long-form AI-generated videos end-to-end: concept, prompting, generation, editing, compositing, motion graphics, color correction, and maintaining character/style continuity using emerging AI video tools.

The role involves architecting AI solutions for compliance, ensuring regulatory adherence, automating processes, and enhancing team capabilities through technology and training.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.

The role involves providing legal guidance on global privacy and AI issues, collaborating with teams to ensure compliance, and developing scalable processes.

Senior technical lead embedding with customer teams to design, architect, and deliver production-grade AI/ML solutions. Drive model optimization, high-performance training (TPUs), efficient serving (vLLM), MLOps, agentic systems, GDPR-compliant private AI, ROI and cost optimization, pre-sales technical support, mentoring, and external thought leadership.

Partner with EMEA AI/ML teams to drive adoption of Arize's observability platform, manage accounts through onboarding and renewals, run workshops/QBRs, identify upsell opportunities, and coordinate technical resources to ensure customers achieve measurable AI outcomes.

Customer-facing ML/GenAI engineer who advises customers, runs demos and strategic reviews, drives product adoption, partners with sales and engineering, and helps expand accounts by implementing best practices for production ML/LLM systems.

Design and deliver production-ready AI solutions for insurance, focusing on agentic AI, multi-agent systems, LLMs, RAG pipelines, and computer vision. Research and implement state-of-the-art models, take prototypes to production, collaborate with data scientists and engineers, and help build proprietary insurance-focused AI models for international markets.

Join our team to create and implement AI solutions, focusing on cloud applications and ETL processes while supporting entrepreneurs with the public cloud.

Design and implement robotics software and AI/ML models for embedded systems, focusing on performance optimization and system integration. Lead architectural decisions and ensure production readiness of robotics and edge AI solutions.

The trainee will implement AI solutions in factory settings, deploy tools for industrial challenges, analyze data for machine learning models, and support local teams across European sites.

Build production-grade AI and automation systems to integrate ad platforms, CRM and analytics for Performance Marketing. Ensure data accuracy by reviewing SQL and data models, create monitoring/diagnostics and human-in-the-loop decision workflows, and roll the solution out across nine markets.

Lead engineering excellence for Digital Assets and AI initiatives, ensuring architectural consistency, risk management, and continuous improvement in engineering practices.

The role involves crafting high-quality, narrative-driven video content using AI tools, managing end-to-end video production, and maintaining character consistency in AI-generated outputs.

The role involves implementing AI features, improving retrieval quality, collaborating with teams, and building backend APIs for various projects.

Design and deliver AI agent ecosystems, collaborate with teams on business goals, and provide mentorship while staying current with AI advancements.

Own lifecycle marketing campaigns across email, push and in-app channels: write copy, build automated customer journeys and behavioral triggers, run A/B tests, analyze performance with product analytics, and work with Product and Tech to optimize activation, retention and monetization.

Design, build, and deploy integrations and AI-enabled workflows for business efficiency. Own MCP Gateway, drive automation, and collaborate cross-functionally.

This role focuses on enhancing brand visibility in AI-generated answers through content optimization, community engagement, and outreach efforts. Output measurement is key, with targets for content delivery and community participation.

Lead AI and sales automation product work for Salesforce: translate business needs into Jira stories, design integrations and automations, coordinate UAT, consolidate data, assist AI feature rollouts, and implement simple automation tasks to reduce CRM administrative effort and improve seller productivity.

Coordinate cohort-based AI learning bootcamps and manage participant/project data. Support capacity planning, scheduling, quality control, reporting and dashboards. Standardize processes and maintain audit-ready records. Provide light operational support during live sessions and communicate with senior stakeholders to drive program outcomes and continuous improvement.

Lead and develop a high-performing team focused on AI enablement capabilities, enhancing internal engineering processes, and aligning product development with organizational goals.