Top Artificial Intelligence Jobs in Warsaw

Develop Python-based intelligent agents and integrate LLMs into multi-agent workflows. Build cloud-native services, robust APIs, data ingestion and storage (SQL/NoSQL/vector DBs), and contribute to orchestration, scalability, testing, and documentation.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

Produce high-performing AI-driven paid ads from concept to final cut using AI avatars, voiceovers, b-roll, and motion graphics. Match and iterate on existing ad styles, collaborate with copywriters, optimize for hooks/pacing/CTAs, scale volume, and stay current with AI tools to innovate creative formats.

The consultant will leverage existing AI video tools to produce prototypes, test innovative approaches, and provide recommendations for scalable content production workflows.

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.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Seeking a Senior Software Engineer to build AI inference systems. Responsibilities include optimizing GPU kernels, architecting inference stacks, and defining benchmarking methodologies. Requires strong programming skills and experience in ML systems.

As an AI Engineer, you will implement AI solutions using Azure OpenAI API, develop machine learning models, and collaborate with teams across industries including retail and healthcare.

The AI Transformation Lead drives AI strategy and implementation across departments, identifies automation opportunities, and fosters an AI-driven culture in the company.

Evaluate personalized AI responses by designing multi-turn prompts using your own personal context, assessing grounding, integration, and helpfulness, stack-ranking side-by-side model outputs, writing clear rationales, verifying debug info, and maintaining data hygiene. Work full-time as a remote contractor with schedule overlap requirements.

Evaluate personalized AI responses for Gemini by designing multi-turn prompts using personal data, comparing side-by-side responses, assessing grounding, integration, and helpfulness, writing structured rationales, extracting debug info, and maintaining data hygiene.

Define product vision and strategy via market research and data analysis; build prioritized roadmaps; collaborate with PMs, designers, and engineers to launch products; communicate with stakeholders; track performance and iterate post-launch.

Lead and mentor two generative AI teams to build conversational agents from design to production. Drive AI solution development, integrate advanced LLM technologies and external APIs, align stakeholders, and oversee software project delivery and team roadmap.

Perform quality checks on filters and options in desktop and mobile views, ensuring relevance to customer queries and preferences. Follow guidelines, conduct online research, review assessments for accuracy, and complete required training and qualification tests before starting.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

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.