Top Artificial Intelligence Jobs in Warsaw

Design and implement full-stack applications and AI agents, build developer tooling, apply secure SDLC practices, and mentor engineers within a remote-first team.

Design and implement full-stack applications and AI agents, build developer tooling, ensure secure practices, and deliver customer-focused solutions.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead AI initiatives for Data Intelligence product, managing the product lifecycle and collaborating across teams to deliver AI solutions.

Develop generative and machine-learning products for the eDiscovery industry, collaborating across teams to build models and features.

The Senior Solutions Architect will work on deploying and optimizing AI workloads on GPU clusters, troubleshoot performance issues, and assist customers with advanced AI training solutions.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

Chatdesk Experts provide support for e-commerce brands through social media and email, working remotely and setting their own schedules.

Lead a team to develop large-scale AI systems, focusing on Generative AI and LLM initiatives, while managing projects from inception to delivery.

Lead the adoption of GenAI tools within engineering teams by experimenting, sharing knowledge, conducting workshops, and measuring impact. Collaborate across specializations to improve workflows and engineer experiences.

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.

The Senior Product Manager will lead the strategy and execution of AI systems, manage product profitability, and drive product lifecycle from planning to implementation.

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.

As an AI Graphic Designer, you'll create engaging visuals using AI tools, analyze performance data, and work with marketing teams to produce high-quality design assets for eCommerce brands.

The Senior Software Engineer will optimize LLM management in Kubernetes, enhance performance, and build software for cost efficiency across cloud platforms.

The Engineering Manager will lead the AI team, manage engineers, drive projects, enhance productivity, and translate business strategies into actionable solutions.

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.

The Director of AI Solutions will lead AI service offerings, driving revenue through solution strategy and delivery alignment, while mentoring teams and engaging clients.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

As a DevOps Engineer, you'll design and maintain cloud infrastructure, manage Kubernetes and Elasticsearch clusters, and write automation code, while collaborating to improve system performance and reliability.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The AI/ML Engineer designs, develops, and deploys machine learning models and AI solutions, collaborating with cross-functional teams to drive data-driven decision-making and automation.

The Senior AI Product Manager will define product vision, lead cross-functional teams, manage product lifecycle, and ensure market delivery, focusing on AI solutions in the B2B SaaS sector.

The AI Data Specialist role involves data collection, evaluation, annotation, and tagging across various content types, focusing on Polish language expertise.

Lead design and implementation of complex open-source AI solutions, provide technical guidance, engage with clients, and contribute to open-source communities.