Top Artificial Intelligence Jobs in Krakow

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.

Design and deliver AI platform features and agents for a PLM application: build RAG/vector search knowledge systems, conversational AI, cloud-native deployments, CI/CD/GitOps pipelines, and ensure scalable, observable production delivery while partnering with product through discovery and iterative delivery.

Design and lead enterprise MCP platform architecture, including MCP clients, servers, tools, integrations, reusable TypeScript/Node.js libraries, SDKs, and orchestration capabilities. Define scalable architecture standards for context management, authentication, versioning, APIs, and service integration patterns. Provide cross-team technical leadership, mentor engineers, guide architectural decisions, and ensure platform scalability, security, maintainability, and operational excellence.

Design and build agentic AI systems, MCP integrations, multi-agent workflows, orchestration layers, and AI SDLC automation. Evaluate emerging models and frameworks through prototypes, benchmarks, and technical research. Collaborate with product teams, architects, and clients to define solutions, explain trade-offs, and guide AI tool adoption. Own end-to-end delivery of scalable AI systems while researching production integrations, vector databases, RAG, embeddings, and model customization.

Leads technical direction and architecture for web and mobile platforms across frontend, backend, cloud, and mobile technologies. Defines scalable, secure, high-performance systems; guides design decisions; mentors engineering teams; supports implementation and code quality; and serves as the primary technical contact for business stakeholders. Drives AI, serverless, low-code/no-code, observability, and innovation initiatives while aligning technical solutions with business goals.

Design, implement, and optimize ETL/data pipelines, data quality metrics, APIs, and enrichment for AI/ML platforms; research big-data technologies; run trials, write technical documentation, and collaborate in project teams.

Lead cloud and AI architecture: define scalable, secure system designs, technology stacks, and workflows; guide DevOps and engineering teams; promote AI/ML best practices; mentor developers and ensure delivery alignment with business goals.

Lead AI-driven visual production for performance marketing, creating photorealistic human and lifestyle imagery, iterating on creatives using data, collaborating with marketers and editors, and integrating AI outputs into design pipelines to improve conversion rates.

Create daily 60–90-second vertical AI micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts. Responsibilities include generating scenes with AI tools, editing footage in 9:16 format, maintaining character consistency, syncing music and sound effects, adding timed captions and overlays, and optimizing exports for social platforms. The role requires rapid experimentation, prompt engineering, knowledge of editing and composition, and experience with AI-generated video, static content, and audio.

Lead the technical vision and roadmap for cloud-native application development supporting mobile infrastructure services. Manage and mentor software engineers and architects, oversee scalable microservices architectures using containers and orchestration platforms, and direct the full software development lifecycle. Drive adoption of cloud technologies, DevOps, GitOps, AI-powered development tools, and low-code/no-code platforms. Collaborate cross-functionally, manage budgets and resources, ensure performance and reliability, and incorporate emerging technology trends.

Create daily 60–90-second vertical micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts using AI video, image, and audio tools. Generate scenes, edit footage in 9:16 format, maintain character consistency, synchronize music and sound effects, add captions and overlays, and optimize exports for social platforms. The role requires prompt engineering, visual composition, and editing skills, with traditional production and storytelling experience considered advantageous.

Design, develop, and productionize AI/ML solutions within the Workday practice. Integrate models into production, implement MLOps (CI/CD, versioning, monitoring), use cloud AI services and container orchestration, build data pipelines, and collaborate with cross-functional teams to ensure scalable, reliable AI-driven features.

Build and operate MLOps and GenAI infrastructure: data acquisition, annotation, transformation and versioning; experiment tracking and reproducibility; scalable model training and inference platforms; automated, secure deployment pipelines with observability, versioning, rollback and multi‑tenant scaling.

Build and own end-to-end features for Chainguard's AI-enabled CI/CD and supply-chain security products. Design, implement, and iterate on integrations like hardened GitHub Actions, container tooling, and agentic AI features. Drive architectural decisions, collaborate with Product and front-end teams, and ship secure, production-ready developer tools.

Lead delivery of a multi-agent GenAI PoC for an FMCG/consumer health client: own client relationship, design solution architecture (Discovery, Ideation, Validation, Orchestration), drive evaluation and pilot, manage PoC milestones, present executive-ready materials, and identify Phase 2 opportunities.

Design and build agentic, goal-driven conversational systems using LLMs and NLP. Lead end-to-end ML product development including training, evaluation, deployment, and observability. Mentor engineers, drive technical decisions, and integrate intelligent agents into recruiting workflows to improve personalization and automation.

Design and develop agentic workflows for intelligent recruiting systems, focusing on ML, NLP, collaboration, and integration with product teams.

Lead branding and visual identity work for F&B concepts using traditional design and AI tools. Create logos, menus, signage, packaging, production-ready files, presentations, and brand guidelines while collaborating with cross-functional teams.

Design and implement AI applications, scalable solution architectures, and enterprise GenAI systems. Develop Python software, integrate LLMs and vector databases, and implement APIs, microservices, containers, CI/CD, monitoring, and security controls. Collaborate with users, participate in implementations, document solutions, review and test code, debug applications, and solve complex problems using systemic and first-principles thinking.

Design and implement scalable AI applications and high-performance architectures using Python and generative AI. Develop and evaluate LLM and RAG solutions, deploy containerized systems, and integrate APIs, microservices, cloud platforms, monitoring, and security controls. Participate in documentation, testing, debugging, deployments, and client presentations while resolving user issues. Support junior developers and contribute to resilient, event-driven enterprise systems handling large datasets.

Own the end-to-end AI-powered content process: develop prompts, generate and edit SEO-friendly articles, fact-check, optimize for search, repurpose content, maintain editorial guidelines, and publish via CMS while improving AI workflows and collaborating with writers and SEO specialists.

The Backend Engineer will develop and maintain features for Restream web services, design backend APIs, ensure infrastructure resilience, and contribute to a collaborative team environment.

Develop and optimise Salesforce Agentforce, AI-powered workflows, intelligent automation, and customer service solutions. Build scalable solutions using Apex, Lightning Web Components, Flows, SOQL, APIs, and Salesforce platform technologies. Support Data Cloud and external integrations, testing, monitoring, security, governance, and performance optimisation. Collaborate with architects, developers, technical leads, and business stakeholders to define AI use cases and deliver maintainable Salesforce solutions.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.