AI Engineer

• Design and implement lean, fit-for-purpose AI/LLM solutions, balancing quality, performance and cost
• Design, build and deploy AI-powered features across Shape App and Channels
• Work with product teams to translate user needs into AI opportunities and technical requirements
• Own the AI feature lifecycle from exploration and prototyping through production deployment and iteration
• Integrate AI capabilities into applications using prompt engineering, model selection, fine-tuning and evaluation
• Contribute production-grade code alongside other engineers
• Collaborate with SREs on infrastructure, observability, scaling, reliability and security
• Continuously explore developments in LLMs and generative AI with a product-first mindset
• Act as the go-to expert on AI/LLMs and help shape the company’s AI capability

• Define and execute product vision, roadmap, and strategic direction for AI-driven platforms and solutions
• Identify emerging business opportunities and transform them into commercially viable products
• Develop reusable intellectual property, accelerators, frameworks, and industry-specific solutions
• Drive prioritization and investment decisions based on customer needs, market trends, and business value
• Build scalable platform capabilities and ecosystem-driven solutions
• Stay at the forefront of Generative AI, Agentic AI, Enterprise Copilots, Intelligent Automation, and Autonomous Agent technologies
• Validate ideas through experimentation, prototyping, and customer engagement
• Collaborate with engineering teams to translate innovative concepts into enterprise-grade products and services
• Define capabilities related to orchestration, context management, memory, governance, integrations, and autonomous execution
• Partner with Sales, GTM, Alliances, and Delivery teams to create business cases, value propositions, demonstrations, and sales assets
• Support strategic customer engagements, executive workshops, and solution development activities
• Develop narratives connecting technology innovation with measurable business outcomes
• Contribute to thought leadership and market positioning initiatives
• Champion enterprise experiences through human-centered design principles
• Balance automation, intelligence, trust, usability, and adoption in product decisions
• Keep customer value and business outcomes at the center of innovation

Senior Product Manager – AI Platforms, Agentic Solutions

• Create realistic, challenging coding tasks involving feature implementation and software bug fixes.
• Design tasks that reflect real-world backend engineering scenarios.
• Develop deterministic verifiers that accept reasonable valid solutions and reject incorrect outputs.
• Work with backend technologies such as Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar languages.
• Evaluate code for correctness, reliability, maintainability, and performance.
• Incorporate automated testing and clear validation criteria into coding tasks.
• Identify and account for edge cases, performance bottlenecks, and potential implementation errors.
• Apply secure coding principles and cybersecurity considerations where relevant.
• Refine tasks and verification logic based on project requirements and quality standards.

Backend Software Engineer – AI Training Projects

• Collaborate on developing an AI assistant for user registration on the platform
• Develop intelligent interest tagging to tailor content to user preferences
• Design and implement personalized travel-planning recommendation mechanisms
• Create tools providing local tips and information about tourist attractions
• Analyze user data to continuously improve platform solutions and features
• Contribute to technology consulting and architecture development within the AI, Cloud & Data team

Senior AI Engineer

• Join a 15-month AI transformation engagement for an international management consulting client
• Deliver production-ready Agentic AI solutions across diverse business use cases
• Work in a cross-functional pod of Senior Data and AI Engineers
• Take solutions from ideation and experimentation through deployment
• Design, build, test and productionize Agentic AI solutions across the end-to-end use case lifecycle
• Develop modular AI agents, tools and reusable capabilities supporting multiple business use cases
• Engineer data pipelines and data products for structured and unstructured data using Palantir Foundry
• Design and maintain Foundry ontologies, including Object Types, Link Types, Action Types, Interfaces and Property Sets
• Build and deploy LLM-powered workflows using Palantir AIP Logic, AIP Automate and AIP Assist
• Integrate and evaluate models from OpenAI, Anthropic and other LLM providers, considering quality, security and cost
• Implement automated testing, observability, guardrails and secure CI/CD pipelines supporting production deployments
• Collaborate with client stakeholders and pod members
• Share Palantir expertise and upskill other engineers

• Analyze, design, develop, test, and maintain complex enterprise software using Java and related technologies
• Design scalable backend services and contribute to the evolution of core application frameworks
• Integrate machine learning models, Large Language Models, and AI services into enterprise applications
• Collaborate with Product Managers, Business Analysts, architects, and engineers to translate business requirements into sustainable technical solutions
• Contribute to architectural decisions related to AI integration, data flows, validation, security, observability, and operational support
• Apply engineering best practices to AI-enabled functionality, including automated testing, output validation, performance monitoring, auditability, and human oversight
• Provide informed technical guidance during design discussions and code reviews
• Troubleshoot complex technical issues in mission-critical client environments
• Mentor junior engineers and contribute to the continuous improvement of engineering practices

Senior Java Developer – AI/NLP Solutions

• Own the quality of AI-generated visual content, creating realistic, attractive and consistent images of models/personas
• Continuously improve realism, visual polish, approval rate and business performance
• Build and optimize scalable generative AI pipelines using Nano Banana Pro, Flux, ChatGPT, ComfyUI, WaveSpeed and other AI platforms
• Automate content production at scale through batch generation and processing workflows with ComfyUI, n8n, APIs, simple scripts and vibecoding
• Define the technical direction for AI image generation and align different content streams
• Establish best practices and help transition from one-off generation to a reliable production system
• Explore and test new AI models, tools and techniques
• Evaluate business value and implement solutions that improve speed, quality, scalability or cost efficiency

AI Engineer jobs in Poland

AI Engineer

Senior Product Manager – AI Platforms, Agentic Solutions

Backend Software Engineer – AI Training Projects

Senior AI Engineer

Senior AI Engineer

Senior Java Developer – AI/NLP Solutions

Lead AI Generative Designer