Top Tech Jobs & Startup Jobs in Krakow

Lead a small cross-functional product unit owning roadmap and a primary business metric. Drive hands-on product work (specs, flows, design), analyze cohorts and monetization metrics, run full build-measure-iterate loops, and incorporate UA economics into product decisions to scale engagement and revenue.

Deliver and install robotics hardware and software in warehouse sites across Europe. Perform system assembly, configuration, calibration, on-site debugging, and customer-facing technical coordination. Produce and maintain deployment and troubleshooting documentation and communicate with customers and internal teams to resolve technical issues.

Own and grow strategic logistics accounts, develop expansion strategies, act as primary client contact, coordinate with operations to deliver tailored supply-chain solutions, prepare proposals and market analyses, and achieve sales and revenue targets.

Support and enhance a live Stibo STEP Customer MDM platform for a financial services client. Responsibilities include configuring data models, workflows, business rules, Web UI, dashboards, data quality controls, and API integrations; resolving match-merge and golden-record issues; supporting ETL flows; tuning performance; triaging incidents; and preparing technical documentation. Daily collaboration with UK stakeholders is required.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Lead a team of five QA engineers and own quality strategy across NedGraphics and Optitex products. Transform QA into an automation-first, AI-enabled function, establish quality standards and release gates, expand desktop test automation, reduce manual regression testing, and contribute hands-on to test design and defect analysis. Develop team members, collaborate with engineering and product leaders, and deliver measurable process improvements across globally distributed teams.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

Design and implement scalable backend services and APIs with tight AI/LLM integration. Collaborate with product and data science teams to operationalize models, deploy microservices (Docker/Kubernetes), maintain CI/CD and reliability, mentor junior engineers, drive technical best practices, ensure security and compliance, and lead feature development and documentation.

Brainly invites interested candidates to submit their CV and skills for potential future openings as the company continues to grow and adapt quickly.