2298 2024 wrocław English-speaking jobs in Wrocław

AgileEngine seeks a detail-oriented Manual QA Engineer to ensure the quality and reliability of SaaS web products. Responsibilities include creating and maintaining test cases, executing manual testing, and documenting bugs in JIRA. Must have at least 3 years of experience as a manual QA engineer, strong SQL skills, and proficiency in Agile methodologies.

Senior Angular Developer needed for a Scrum team building a modern frontend using Angular 17 and a .NET backend. Responsibilities include designing, developing, and reviewing code, collaborating with backend developers and clients, and mentoring junior developers. Requires 5+ years of commercial frontend development experience, strong Angular expertise, and experience with Nx monorepo, NgRx, TypeScript, and RxJS.

The Record to Report (R2R) Specialist ensures accurate and timely financial reporting. Responsibilities include journal entries, ledger management, reconciliations, month-end close, and financial analysis.

Technical leader to own Imagination Technologies' platforms roadmap, collaborating with EDA vendors and internal teams to select solutions and drive development of tools and workflows.

Entry-level Customer Service Specialist supporting customers with invoice, payment, and account inquiries. Provides support to the AR team, investigates billing issues, and assists with collection tasks. Requires a Bachelor's degree, English language proficiency (B2/C1), and strong communication skills.

Junior Software Engineer to develop mobile telecommunication technologies in a multi-site international network. Requires proficiency in C++, Git, and English. Telecommunication and 5G architecture knowledge is a plus.

Designs, develops, and implements AI solutions using Python, focusing on LLMs, vision models, and generative AI. Builds, tests, and optimizes RAG applications, leveraging prompt engineering techniques. Collaborates with the AI Lead and team members to troubleshoot, test, and deploy AI systems.

Senior Partner Sales Manager will build relationships with Global System Integrator partners, increase Canonical market share, and evangelize the partnership. They will negotiate contracts, work with marketing and sales engineering, and lead executive interactions.

Design, build, and deploy an AI-driven Intelligent Configuration Agent that translates natural language instructions into structured JSON configurations. Integrate Large Language Models (LLMs) like Claude and Genie into the development workflow.

DevOps Engineer to install, configure, and maintain middleware infrastructure across cloud (AWS/Azure) and on-premise environments. Responsibilities include Kubernetes infrastructure management, base image development, GitOps and IaC implementation, and middleware component support.

Leads end-to-end sourcing processes for the marketing category, including agencies, media, and digital suppliers. Negotiates commercial terms and drafts/negotiates contracts (MSA, SOW). Collaborates with international stakeholders to ensure cost efficiency and compliance.

Data Product Manager will own data and analytics for an OMS migration project. Responsibilities include roadmap development, stakeholder alignment, technical specification creation, and overseeing data architecture, integration, and performance. Requires 12+ years of experience in product management, data, or analytics, strong technical background, and experience managing large-scale projects.

Data Protection Coordinator – Life Sciences provides support to the DPOaaS team and assists with a variety of tasks related to data protection compliance, including conducting audits, drafting reports, and advising clients on best practices. The role requires excellent communication and organizational skills, a proactive attitude, and the ability to work independently and as part of a team. Experience with data protection regulations, particularly GDPR, is essential.

Business Operations Specialist to support Engineering team, driving operational excellence and strategic initiatives. Responsibilities include financial planning, forecasting, cost ownership, variance analysis, OKR support, reporting, KPI tracking, and operational efficiency. Requires experience in operations, business analysis, data analysis, and strong communication skills.

Leads the growth of Grape Up's Generative AI practice by shaping the service offer, driving pre-sales, and leading R&D. Responsibilities include defining AI service offerings, conducting market research, and designing and delivering AI solutions. Requires 5+ years of AI/ML experience, including 2+ years with Generative AI/LLMs, strong cloud platform knowledge, and proven pre-sales or technical consulting experience.

Lead a remote ML Security team building bot, agent, and human fraud detection products. Execute roadmaps, mentor engineers, and drive team growth while collaborating with research, product, and tech leads. Strong ML/data science or engineering background with production ML experience and engineering management experience required.

The Conversational AI Delivery Engineer will develop and maintain Conversational AI solutions, ensuring stability and adherence to defined standards. Responsibilities include applying NLU tuning, contributing to Conversational flow design, and supporting technical reviews, testing, and analytics. The role requires 3+ years of experience in software delivery, DevOps, or Conversational AI related roles and familiarity with CI/CD tools and Conversational AI platforms.

Experienced Full Stack Development Lead needed for end-to-end solutions using React, TypeScript, and C# .NET Core. Contribute to technical direction, support a collaborative culture, and influence architectural decisions in a cloud-driven environment.

Senior AI DevOps Engineer to architect, deploy, and scale AI/ML/GenAI systems, focusing on LLM/SLM deployment in Azure cloud environments. Requires 5+ years in DevOps/Cloud Engineering with proven experience in AI/ML/GenAI projects and strong Azure expertise.

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production Azure environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven hands-on experience deploying LLMs/SLMs in production. Strong Azure expertise, scripting (Python + Bash/PowerShell), IaC (Terraform/Ansible), and CI/CD pipelines are essential.