Top Artificial Intelligence Jobs in Warsaw

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.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

Research and develop methods for large language models, build infrastructure for AI training and evaluation, and collaborate cross-functionally.

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

The AI Automation Engineer will design and automate AI workflows, optimize prompts, integrate APIs, and develop scalable workflows for an intelligent assistant aimed at Amazon sellers.

As an ML Engineer, you will develop ML models, collaborate with teams, maintain model performance, and drive innovation in ML technologies.

As a Senior Full Stack Engineer, you will build custom AI-powered workflows and full-stack applications, translating client needs into technical solutions while collaborating with internal teams and developing internal tools.

The position involves designing and building systems for AI-powered document generation, integrating with AI platforms, and ensuring reliability while collaborating with front-end and ML engineers.

The role entails advancing AI projects, optimizing workflows with LLMs and generative AI, and collaborating with teams to meet business needs.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

Oversee research, planning, execution, and delivery of product launches for EverAI's AI platform, ensuring project goals are met and user needs are satisfied.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

The 2D / AI Artist will create 2D illustrations and textures for 3D objects, collaborate with the lead artist, and optimize workflows using AI tools.

As a Senior AI Engineer, you will deliver AI solutions, collaborate with teams to translate user needs, and improve data processes while mentoring juniors.

Lead the strategy for Zendesk's Voice AI agents, working across teams to deliver a cohesive and intuitive customer experience through AI-powered voice interactions.

Develop and maintain scalable Python applications, build RESTful APIs, design chatbot applications, and collaborate with teams to deliver AI-driven products.

As an ML Engineer at Provectus, you'll create and improve ML models, collaborate on production efforts, develop experimentation roadmaps, and maintain model performance.

Provide technical support for AI inference issues, troubleshoot deployment problems, analyze logs/metrics, and enhance platform usability by collaborating with engineering.

As an ML Engineer, create and improve ML models, collaborate with teams, maintain experimentation pipelines, and stay updated with ML advancements.

The Head of AI Consulting will lead AI service offerings, manage a consulting team, engage in AI projects, and drive technical pre-sales.

As a Lead Software Engineer, you'll guide the Neural AI team in AI-driven localization, focusing on machine translation, foster team autonomy, mentor engineers, and represent the team in cross-functional discussions while ensuring impactful outcomes.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The Principal Product Designer will drive product design strategy, mentor other designers, and lead complex design initiatives while ensuring high-quality, user-centered design practices.

The role involves architecting and building high-performance Golang microservices, enhancing ML infrastructure, and developing scalable data solutions. A focus on cloud-native architecture and strong technical leadership is essential.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.