Top Artificial Intelligence Jobs in Krakow

Design and build scalable platform capabilities that expose location intelligence to agentic AI. Implement reliable LLM-driven decision pipelines, optimize latency/cost for edge deployments, define evaluation and reliability strategies, and lead cross-functional technical direction and integration.

Lead design and implement agentic AI systems: integrate services and models, optimize and fine-tune LLMs (LoRA/QLoRA), build datasets and evaluations, run experiments to improve reliability, cost, and latency for production workflows.

Lead design and build of core backend services, APIs, workflow orchestration, and integrations (HERE and third-party) for agentic AI logistics solutions. Own system architecture, production reliability, LLM orchestration (LangGraph/LangChain), API design, testing, CI/CD, and mentor engineers to deliver scalable, high-performance features.

Design and implement agentic AI system logic and reusable components. Integrate models, data sources, and services into scalable workflows. Prototype and iterate on agentic interaction patterns, tooling, and session/context handling. Support UI-facing clients and enable systems to take action through structured tools and APIs.

Lead development of agentic AI systems that enable LLM-driven workflows and real-world actions via location intelligence. Design integrations across data providers, backend services, and user interaction layers; implement agent tooling, session and context handling; prototype and iterate on reliability, cost, and performance trade-offs.

Lead R&D projects to create mathematical models and numerical simulations for power grid reliability and stability with high renewable penetration. Develop, implement and validate simulation algorithms, collaborate globally, integrate optimization/ML methods, prototype solutions, publish results, and work with external partners.

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 business analytics projects partnering with ABB business areas: design data migration, integration, validation, reporting and governance; manage cloud analytics platforms, vendors and infrastructure; pilot AI/ML solutions and ensure alignment with business objectives and controls.

Design, build, test, and deploy AI-enabled applications for financial services using LLMs, RAG, semantic search, embeddings, and agentic patterns. Integrate with data platforms, ensure scalability, reliability, monitoring, and governance, and collaborate with stakeholders to deliver production-ready, explainable AI solutions.

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.

Lead a cross-functional squad to define product vision, roadmap and deliver new features for institutional English assessments. Translate business needs into requirements, write and prioritize epics and user stories, run agile ceremonies, collaborate with UX/development/marketing/operations, use data to iterate, and mentor colleagues to achieve measurable business outcomes.

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.

Assist air passengers with their claims through timely communication across various channels. Provide legal advice with training support and follow operational procedures.

Assist customers with claims and queries via various channels, utilizing legal knowledge and following procedures in a shift-based environment.

Assist air passengers with claims by communicating through email, chat, and social media, and utilizing legal knowledge for guidance.

Assist customers with claims related to delayed or cancelled flights, providing support through various communication channels and utilizing legal knowledge to offer assistance.

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.

The role involves defining AI data architecture, managing data quality, and ensuring security while guiding teams on best practices for data governance and AI integration.

The role focuses on modernizing enterprise data architecture for AI readiness, involving data governance, quality, security, and orchestration using Airflow. Responsibilities include defining standards, establishing data contracts, ensuring data quality, and providing mentorship.

Lead product vision, roadmap, and P&L for Data, AI and Insights products in travel. Translate market and customer needs into backlog, write user stories, support sales and delivery, guide scrum teams, analyze maintenance issues, and drive product-market fit and profitability.

Lead product vision and strategy for the Mosaic Data Intelligence portfolio. Manage P&L, roadmap, investments, and priorities. Capture customer and market needs, translate into user stories, work with engineering and commercial teams to deliver AI/data solutions, support sales and stakeholder engagement, triage maintenance, and conduct demos.

The Senior Product Manager will lead AI-focused product strategies for internal and external developer experiences, oversee product lifecycle management, and mentor junior team members while leveraging data and AI technologies to enhance developer productivity and satisfaction.

Develop AI-enabled workflows and methods to accelerate design, simulation, control, and validation of complex power-electronics systems. Apply ML (surrogate models, optimization, RL, Bayesian methods) integrated with MATLAB/Simulink, PSCAD, or PLECS to enable design-space exploration, model reduction, anomaly detection, and reliability assessment. Collaborate with local and global teams, external partners, and disseminate results via reports, patents, and publications.

Design, develop, and maintain software solutions integrating Generative AI and LLMs. Build backend services in Python, contribute front-end components, and implement cloud solutions on GCP/Vertex AI. Participate in full development lifecycle, collaborate with engineers and data scientists, explore generative AI applications, and support production deployments.