Top Artificial Intelligence Jobs in Krakow

Own a core construction software product area from customer problem through measurable outcome. Responsibilities include customer discovery across construction sites and commercial teams, product strategy and roadmap ownership, prioritization, AI feature development and evaluation, human-in-the-loop design, stakeholder communication, and raising product-management capability. The role partners closely with engineering, design, consultancy, growth, and customer success teams while driving adoption and business impact.

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.

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.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, including LLM inference infrastructure, RAG, AI agents, and evaluation/observability. Design and run experiments (A/B tests), optimize systems for production performance and reliability, and iterate rapidly with product and design partners.

Design and build GitLab Duo CLI features in TypeScript, shape AI-assisted developer experiences, improve CLI reliability, observability, and performance, collaborate across Developer Clients, and provide technical leadership and mentorship.

Design, build, and deploy AI agents and conversational solutions using Microsoft Copilot Studio and Power Platform. Integrate LLM-based, RAG-enabled systems with enterprise APIs, implement monitoring/analytics, ensure security and governance, and collaborate with stakeholders in Agile delivery.

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.

Lead design, development, and maintenance of automated test frameworks (UI, API, regression, E2E) using Selenium, C#/.NET, and AI-assisted tools; integrate tests into CI/CD; analyze results; validate AI-generated tests; drive QA transformation and mentor teams.

Lead customer-facing design and deployment of production-grade AI systems. Build end-to-end AI operations, prototype solutions, and implement LLM workflows, RAG pipelines, agentic systems, and custom data pipelines while aligning stakeholders and providing strategic technical guidance.

Develop backend features in .NET, maintain APIs, support integrations, write clean code and unit tests, analyze bugs and logs, and participate in reviews, workshops, and demos. The intern will use AI tools for coding, debugging, refactoring, research, and automation while verifying generated solutions and considering privacy and security limitations. The role involves close mentorship and collaboration with experienced developers in an international agile team.

Design and implement cloud and platform solutions (AWS/Azure) using Terraform, integrate Generative AI/LLM technologies with enterprise tools (Grafana, Splunk, Collibra, Kubernetes, Envoy, LiteLLM), collaborate with architects and stakeholders to define integration patterns and scalable designs, and provide hands-on implementation and technical consulting within Agile teams.

Designs end-to-end UX solutions for mission-critical public safety systems while modernizing UX workflows with AI. Responsibilities include rapid prototyping, human-centered design, usability testing, human-in-the-loop interaction design, evaluating emerging AI tools, defining product visions, and guiding adoption of effective methods across the global UX organization.

Design and deliver production-ready Generative AI solutions, including LLM, RAG, agent, automation, and intelligent systems architectures. Translate client business needs into scalable cloud-based solutions, lead AI pre-sales workshops and presentations, create architecture proposals and diagrams, and guide engineering teams through implementation. Apply AI governance, security, responsible AI, monitoring, and lifecycle-management practices while advising stakeholders on effective technical strategies.

Participate in an AI and MLOps internship delivering software, data pipelines, infrastructure-as-code, backends, and user interfaces. Collaborate on Generative AI solutions, contribute to client-facing business decisions, and gain experience in project management and team leadership. Use technologies including Docker, Terraform, AWS, FastAPI, LangChain, and Spark while developing cloud, machine learning, big data, and LLM expertise.

Design and develop software solutions for AI/ML applications, propose new approaches to optimization problems, and collaborate with global teams in research and development.

Lead engineering activities for productizing Deep Learning models, mentoring team members, collaborating across units, and optimizing DL workloads.

Design, implement and maintain backend services for a digital banking platform. Own full lifecycle delivery within a cross-functional team, collaborate with architects and QA, ensure security, performance and scalability, work with microservices, relational databases, integration patterns, and support frontend tasks as needed.

Design high-converting email templates and marketing assets in Go High Level, maintain modular visual systems for web, social, ads and funnels, run A/B tests, package specs for hand-off, and introduce AI tooling to accelerate workflows while ensuring accessibility and performance.

Senior technical leader providing high-level AI strategy, architecture direction, and long-term systems design. Delivers strategic artifacts (architecture reviews, AI integration strategies, roadmaps), advises executives, collaborates with product and engineering teams, and mentors technical leaders to improve scalability, resilience, and governance across platforms.

Build, optimize, and scale high-converting sales funnels using GoHighLevel and AI tools. Implement A/B tests, conversion optimization, retargeting campaigns across major ad platforms, ensure tracking and integrations, write conversion-focused copy, and deliver measurable improvements in conversion rate, ROAS, and revenue.

As a Senior AI Engineer, you will develop and optimize AI-driven solutions, focusing on multi-agent systems, LLM-based applications, and AI automation. Your role includes building applications, integrating models into cloud solutions, and conducting research on new AI tools.

Design, build, and operate GitOps-driven data and AI platforms and pipelines (ETL/ELT, feature stores, batch/real-time inference). Enable GenAI/RAG (embeddings, vector ingestion), implement IaC and CI/CD, enforce data quality, governance, observability and MLOps, and support Azure/AWS-based production deployments while collaborating with security, product, and operations teams.

Lead frontend development for the Entitlements platform, owning full SDLC. Design scalable, secure systems, mentor engineers, integrate with backend microservices, and advance LLM-based assistants and personalization using OpenAI/ML models.

Lead design and delivery of Entitlements features for high-traffic digital banking products. Own full SDLC, improve architecture and integrations, mentor engineers, and build LLM-based assistants and personalization engines while ensuring security, scalability, and resilience.

The Senior AI Engineer will design, develop, and deploy AI-driven solutions, focusing on agent orchestration, advanced retrieval, system architecture, and mentoring junior engineers in a regulated financial environment.