Top Artificial Intelligence Jobs in Poland

Lead development and evaluation of speech language models and automated scoring systems for learner and hiring applications. Build, fine-tune, and monitor acoustic, ASR, speech-to-speech, and LLM-based models; design experiments and validity analyses; perform error analysis and rater reliability studies; integrate with product and UX; apply responsible AI practices and support production monitoring and governance for high-stakes assessments.

Lead R&D and implementation of ML and statistical learning capabilities for English language learning products. Design, build, and monitor production-ready models (NLP, speech, psychometrics), document and present results, mentor junior colleagues, collaborate with engineering, and publish research.

The Sales Operations & AI Manager will oversee CRM systems and automations, optimize sales processes, and build AI workflows to enhance lead generation and data management.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Senior Python Engineer will design, develop, and maintain internal AI-driven tools, APIs, and workflows, focusing on automation and system integrations to enhance efficiency at Capital.com.

The AI Creative Designer creates high-quality, AI-generated visuals for marketing campaigns, collaborating with teams to optimize visual content for conversion rates.

Create high-volume, AI-assisted conversion copy across full funnels—landing pages, sales pages, email sequences, VSL/webinar scripts—and product messaging. Build and maintain prompt libraries and AI workflows, run A/B copy tests, optimize hooks/headlines/CTAs, and collaborate with design, sales, and product teams to drive measurable conversion lifts.

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.

Convert raw workshops, interviews and long-form video into high-volume micro-content, sizzles, courses and high-converting landing/funnel pages using AI tools. Manage asset libraries, QA, reporting, CRM integrations and rapid revisions to meet SLAs.

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.

The Test Lead will drive QA and validation strategy for AI solutions in a regulated industry. Responsibilities include defining testing strategies, executing tests, coordinating with client teams, and managing test data and environments.

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.

Build and ship Kotlin-based native Android features for an AI-enabled neobank app. Design clean user journeys, integrate backend APIs, improve performance and reliability, and apply on-device ML where beneficial.

Build and ship native Android features for an AI-enabled neobank using Kotlin and Jetpack Compose. Integrate backend APIs, improve app performance and reliability, use analytics and on-device ML (TensorFlow Lite), and collaborate with product and design to simplify financial user journeys.

As an AI Inference Engineer, you will optimize C++ systems for AI model inference on edge devices, collaborating with researchers to deploy and enhance models while ensuring runtime stability and performance.

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.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Design and implement cloud-native AI solutions, build relationships with clients, and optimize AI systems. Mentor others and lead architecture decisions.

Conduct applied AI/ML research to solve home design challenges, work with raw data, test hypotheses, and build prototypes/MVP solutions.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

As an AI Product Manager, you will identify AI-driven solutions, manage product roadmaps, develop Go-To-Market strategies, and drive adoption of AI products across InPost Group.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.