Top Artificial Intelligence Jobs in Poland

Develop AI and predictive analytics solutions for R&D master data using Python, PySpark, SQL, Azure, and Databricks. Prepare and analyze complex datasets, identify data-quality issues, create AI proof-of-concepts, translate business needs into technical requirements, and support Power BI dashboard development. Ensure solutions meet data-governance and GxP standards while supporting master-data management activities in collaboration with technical and business stakeholders.

Develops generative AI workflows and agentic systems that analyze legacy code, extract business logic, and transform it into modern implementations. Responsibilities include building language-specific parsers, orchestration layers, verification frameworks, feedback loops, ML integrations, RESTful APIs, and cloud-native infrastructure. The role collaborates with globally distributed teams to deliver production-ready modernization solutions.

Own AI adoption across the credit risk model lifecycle, from identifying use cases and developing proof-of-concepts to scaling compliant business-as-usual solutions. Build and evaluate AI- and LLM-enabled solutions using Python, SAS, and SQL; address data, documentation, validation, monitoring, and regulatory processes. Advise senior stakeholders on feasibility, risks, and value while ensuring traceability, auditability, and regulatory compliance. Drive cross-functional change without formal line responsibility.

Develop realistic backend coding challenges, feature implementations, bug fixes, and deterministic verification systems for AI training projects. Responsibilities include designing scalable backend scenarios, evaluating code correctness and quality, incorporating automated testing, identifying edge cases and performance issues, applying secure coding principles, and refining validation logic. The role requires strong backend programming experience, debugging and optimization skills, knowledge of algorithms and data structures, and independent technical problem-solving.

Analyze and resolve software bugs and security vulnerabilities across complex codebases. Develop and refactor backend applications, conduct penetration testing and security audits, optimize performance, apply secure development practices, document findings, and provide cybersecurity and engineering insights for AI training datasets.

Drive cloud and AI solution revenue through a portfolio of Microsoft CSP partners in the corporate segment. Develop partner sales plans, accelerate and close pipeline, forecast revenue, manage top deals in MSX, use incentives to advance opportunities, and coach partners on Microsoft solution-area plays. The role requires professional Polish proficiency and focuses on co-sell strategies, commercial performance, deal progression, and customer outcomes.

Develop a highly optimized, open-source inference framework for AI networking acceleration on supercomputers and data centers. Build low-level infrastructure using hardware offloads, GPU kernels, RDMA networking, and performance optimization techniques. The role requires modern C++/C/Rust development, Linux expertise, TCP/IP knowledge, and understanding of computer architecture and operating systems, with CUDA, ML, LLM, parallel programming, HPC, and RDMA experience preferred.

Owns the AI and agentic decisioning strategy for PMI Operations across Europe and North America. The role sets AI portfolio priorities, defines autonomy and human-oversight frameworks, guides responsible AI governance, measures value realization, and shapes blended human-AI operating models. It requires executive leadership across operations, technology, risk, compliance, product, and workforce transformation, with accountability for commercial, customer, operational, and control outcomes.

Enable B2B content teams to make content AI-ready and discoverable by search and generative AI. Define research frameworks, content journey design, channel strategies, and schema requirements. Act as power user of BrightEdge and Claude, support CMS pillar page scoping, guide website renewals, run cross-functional workshops, and provide AI-search visibility and performance reporting to business area stakeholders.

Develop and maintain Android mobile applications for a fintech product. Design innovative features, improve user experience, and help evolve the mobile platform. Lead Android best practices, identify tooling gaps, reduce technical debt, and optimize CI/CD pipelines. Collaborate in an Agile environment, with potential responsibility for testing practices, continuous integration, and mentoring through technical expertise.

Develop and maintain Android mobile applications for a fintech product used by developers worldwide. The role involves creating innovative mobile features, improving user experience, following Agile practices, and applying Android development best practices. Candidates should have built and published at least one Android app on Google Play. Experience with testing frameworks, scripting languages, and Jenkins is preferred.

Develop and maintain Backbase mobile banking applications for iOS using Swift, UIKit, and SwiftUI. Build reusable components and APIs, leverage AI-assisted development workflows, and deliver production-ready features with strong accessibility, security, performance, and backward-compatibility standards. Collaborate within an Agile Scrum team while writing tests and supporting continuous integration.

Develop and maintain production iOS applications and reusable framework APIs for Backbase Digital Banking. Build Swift components using UIKit, SwiftUI, and the Backbase Design System while ensuring accessibility, security, performance, backward compatibility, and testability. Collaborate within an Agile Scrum team, deliver features end to end, and improve tooling, technical debt, and CI/CD pipelines using AI-assisted development workflows.

Build user-focused web applications and digital banking solutions using Angular, TypeScript, backend integrations, APIs, and microservices. Leverage AI coding assistants and agentic workflows to accelerate development, testing, refactoring, and integrations. Own production-ready features, maintain accessibility, security, performance, and testability standards, and collaborate within cross-functional Scrum teams.

Design and deliver complex frontend features for digital banking products across their full lifecycle. Own architecture, APIs, scalability, performance, security, releases, and maintenance. Provide technical leadership through mentoring and code reviews, improve tooling and CI/CD, reduce technical debt, and use AI tools throughout development and testing. Collaborate with architects, product managers, and UX designers in an agile environment.

As an AI Engineering Lead, you'll shape AI operations, develop strategies, mentor a team, and integrate AI technologies into operations for impactful outcomes.

Generate and refine photorealistic AI images and videos, build batch-processing automations, collaborate on visual concepts, maintain consistent asset quality, and develop guidelines for realism and editing best practices. The role requires advanced retouching, prompt engineering, knowledge of AI model limitations, and familiarity with image detection tools.

Design, build, test, and deploy production-ready agentic AI and multi-agent solutions using Palantir Foundry, Palantir AIP, LLMs, Azure, and Databricks. Responsibilities include developing AI agents, data pipelines, ontologies, RAG workflows, model integrations, automated testing, observability, guardrails, and secure CI/CD. The role also involves client collaboration, knowledge sharing, and mentoring engineers across international consulting projects.

Lead engineering for Redpanda’s governed AI data plane, owning the roadmap and execution for AI gateways, MCP/tool governance, agent identity, policy enforcement, and auditability. Partner with Product, Sales, Customer Engineering, and design partners to convert early product development into production deployments. Build and mentor a 15–20-person team, establish AI-first engineering practices, manage performance and recruiting, and shape the company’s technical strategy and engineering culture.

Build advanced generative AI workflows for image, video, audio, editing, multimodal orchestration, and automation. Create showcase demos for investors, enterprise clients, marketing, and tutorials. Explore and integrate AI models, design user-friendly workflow widgets, and collaborate with AI engineering, UX, and product teams. Strong experience with node-based AI systems and large graph workflows is required, with prompt engineering, pipeline design, model chaining, and automation skills.

Designs large node-based workflows for image, video, audio, and multimodal AI generation. Builds showcase demos, automates creative pipelines, integrates AI models and agents, explores model combinations, and helps convert complex workflows into accessible widgets. Collaborates with AI engineers, designers, and product leaders to improve the GenAI workflow-building experience.

Designs, develops, tests, and deploys Moveworks agentic AI use cases, custom actions, workflows, and enterprise integrations. Builds secure REST API and middleware solutions connecting platforms such as ServiceNow, Microsoft 365, Teams, SharePoint, Graph, and Okta. Provides Level 3 production support, troubleshooting, root cause analysis, and permanent fixes. Optimizes conversational AI behavior, participates in Agile delivery and code reviews, maintains technical documentation, and validates releases.

Build and operate production AI systems, including LLM agents, multimodal applications, RAG pipelines, classical ML models, and AI services. Own solutions from requirements and prototyping through deployment, monitoring, evaluation, and support. Develop Python services on Azure using PostgreSQL, Terraform, containers, CI/CD, and observability tools. Integrate AI with engineering, manufacturing, testing, and business systems while improving technical architecture, mentoring engineers, and guiding responsible AI adoption.

Build and optimize AI components and production pipelines for Sherpany products. Develop innovative AI features, integrate solutions with engineering and product teams, and ensure workflow performance, scalability, security, reliability, and compliance. Work with on-premises AI deployments, evaluate emerging technologies, mentor junior engineers, and establish best practices.

Participate in Veeva’s Consultant Development Program, configuring cloud software, testing features, solving customer problems, managing deliverables, and advising Life Sciences customers. Associates receive intensive onboarding, work directly with customers within three months, and can advance to Consultant in under two years. The role is remote in Poland but requires residence within 60 minutes of Krakow, Warsaw, or Wroclaw and travel up to 20–30% of the time.