Quantum Computing Research Engineer

🏢 Summary: Senior-level role focused on designing and delivering scalable AI/ML solutions, including LLMs, RAG, and agent-based systems, from architecture to production deployment. The position involves leading technical decisions, writing high-quality Python code, and building cloud-based microservices solutions. The role also requires translating business needs into robust, production-ready AI systems. 🗂️ Requirements: Several years of software development experience (senior-level), Strong Python proficiency, Solid understanding of ML/AI ecosystem (LLMs, NLP, deep learning), Hands-on experience with RAG, prompt engineering, agent-based systems, Experience with microservices architecture, Experience with databases, Experience with Kubernetes, Experience with CI/CD pipelines, Experience with Azure cloud, English proficiency 📃 Skills: Python, LLMs, RAG, NLP, DeepLearning, PromptEngineering, Microservices, Databases, Kubernetes, CICD, Azure, GCP, Java 🏢 Description: Responsibilities: Design and develop scalable AI/ML solutions (LLMs, RAG, agentic systems) Write high-quality, testable Python code Lead technical architecture and make key design decisions for critical projects Own end-to-end delivery of solutions, from design to production deployment Collaborate with business stakeholders and translate requirements into technical solutions Requirements: Several years of experience as a software developer (senior-level preferred) Very strong Python skills and solid understanding of the ML/AI ecosystem (LLMs, NLP, deep learning) Hands-on experience with RAG, prompt engineering, and agent-based systems Experience with microservices architecture, databases, Kubernetes, and CI/CD pipelines Experience with Azure cloud (GCP as a plus) Basic familiarity with Java is a plus Strong English communication skills

🏢 Summary: Oferta dotyczy roli inżyniera AI/LLM odpowiedzialnego za projektowanie i wdrażanie produkcyjnych systemów opartych na Pythonie oraz zaawansowanych architekturach LLM. Stanowisko obejmuje budowę rozwiązań RAG, orkiestrację agentów oraz przygotowanie pipeline’ów danych pod modele językowe. Rola wymaga pracy z wektorowymi bazami danych oraz zapewnienia jakości poprzez testy i ewaluację systemów niedeterministycznych. 🗂️ Requirements: Minimum 3 lata komercyjnego doświadczenia w projektowaniu i wdrażaniu systemów produkcyjnych w Pythonie, Doświadczenie w budowie zaawansowanych architektur LLM (RAG, harness engineering, orkiestracja), Praktyczna znajomość LangChain lub LlamaIndex, Znajomość wzorców projektowych i zasad Clean Code, Doświadczenie w pisaniu testów i ewaluacji systemów niedeterministycznych, Doświadczenie w Data Engineering dla LLM (ETL, parsowanie dokumentów, chunking, transformacje danych), Praca z bibliotekami do manipulacji danymi, Znajomość wektorowych baz danych i strategii chunkingu, Wykształcenie wyższe w kierunku ścisłym lub pokrewnym, Znajomość języka angielskiego na poziomie min. B2 📃 Skills: Python, LLM, RAG, LangChain, LlamaIndex, Pandas, NumPy, Qdrant, Pinecone, Chroma, ETL, Azure, GCP, AWS, Docker, Kubernetes, PyTorch, TensorFlow, C#, Go, Java, SQL, AzureDevOps 🏢 Description: Wymagania: Doświadczenie komercyjne: minimum 3 lata projektowania i wdrażania systemów w jakości produkcyjnej w Pythonie. Udokumentowane doświadczenie w budowaniu zaawansowanych architektur LLM: zaawansowany RAG, harness engineering oraz orkiestracja przy użyciu frameworków takich jak LangChain lub LlamaIndex. Znajomość wzorców projektowych, zasad Clean Code oraz pisania testów i ewaluacji dla systemów niedeterministycznych. Doświadczenie w Data Engineering pod LLM: ETL dla danych nieustrukturyzowanych (parsowanie dokumentów, chunking), transformacji oraz pracy z bibliotekami manipulacji danymi (Pandas, NumPy). Praktyczna znajomość wektorowych baz danych (np. Qdrant, Pinecone, Chroma) oraz strategii chunkingu i zarządzania metadanymi. Umiejętność przekładania skomplikowanych koncepcji AI na język korzyści biznesowych i współpraca z zespołami produktowymi. Wyższe wykształcenie (lub w trakcie) w naukach ścisłych/ilościowych (Informatyka, Matematyka, Fizyka, Ekonometria lub pokrewne) oraz znajomość języka angielskiego na poziomie min. B2. Welcome Skills: Znajomość zaawansowanych frameworków agentowych: LangGraph, CrewAI, AutoGen. Praktyka z chmurami (Azure, GCP lub AWS) oraz konteneryzacją i orkiestracją (Docker, Kubernetes). Zrozumienie klasycznego NLP oraz frameworków głębokiego uczenia (PyTorch, TensorFlow) na potrzeby utrzymania i aktualizacji istniejących komponentów. Znajomość dodatkowego języka (C#, Go, Java). Szczególnie cenimy komercyjne doświadczenie w ekosystemie .NET (C#, SQL Server, Azure PaaS) oraz budowaniu potoków CI/CD (Azure DevOps).

🏢 Summary: The offer is for a senior Cloud & DevOps professional responsible for designing and deploying scalable cloud-native applications and critical infrastructure. The role focuses on driving CI/CD automation, improving cloud architecture, and ensuring security and quality standards across delivery pipelines. It also involves mentoring teams and leading cloud adoption initiatives in an Agile environment. 🗂️ Requirements: Minimum 5 years experience in cloud-focused or DevOps role, Hands-on experience with Kubernetes, Docker, Terraform, Experience with at least one cloud provider (AWS/Azure/GCP/IBM), Strong knowledge of Jenkins, Ansible, ArgoCD, GitLab, Ability to design and manage CI/CD pipelines, Understanding of RESTful APIs, data quality, security protocols, Experience working with Agile methodologies (SCRUM/Kanban), Familiarity with JIRA and Confluence, Professional English communication skills 📃 Skills: Kubernetes, Docker, Terraform, AWS, Azure, GCP, IBM, Jenkins, Ansible, ArgoCD, GitLab, REST, SQL, PostgreSQL, SQLServer, Python, JavaScript, SpringBoot, Nuxt.js, Vue, JIRA, Confluence 🏢 Description: Responsibilities Design, deploy, and assess scalable native cloud applications and critical infrastructure components. Drive the evolution of CI/CD processes and build/deployment pipelines using Jenkins, Docker, Kubernetes, and GitLab . Consult and collaborate with cross-functional IT teams on cloud architecture, optimization, and security standards. Lead the implementation of test strategies and best practices to ensure high-quality delivery within automated pipelines. Support and mentor delivery teams in adopting new cloud initiatives, ensuring alignment with company security policies. Requirements Minimum 5 years of experience in a similar cloud-focused role with a strong problem-solving mindset. Expertise in Cloud & DevOps tools : Hands-on experience with Kubernetes, Docker, Terraform , and at least one major provider (AWS/Azure/GCP/IBM). Advanced CI/CD proficiency : Strong knowledge of Jenkins, Ansible, ArgoCD , and GitLab version control. Deep understanding of IT Architecture : Proven ability to handle RESTful APIs, Data Quality, and Security protocols. Strong Communication & Leadership : Ability to engage with stakeholders (IT, Business, Clients) in English (written and oral). Agile Mindset : Familiarity with SCRUM/Kanban and tools like JIRA/Confluence. Technical Versatility (Nice to have) : Proficiency in Python, JavaScript and experience with frameworks like SpringBoot or Nuxt.js/VUE . Data Management : Basic knowledge of SQL Server or PostgreSQL.

🏢 Summary: The offer is for a Backend .NET Developer responsible for building and maintaining robust backend systems while supporting full software development lifecycle and DevOps practices. The role involves working in Agile teams, ensuring high performance, scalability, and seamless integration of applications. The position also emphasizes containerization and cloud-based solutions using Azure. 🗂️ Requirements: Proven experience with .NET development, Strong knowledge of Docker, Strong knowledge of Kubernetes, Familiarity with Microsoft Azure, Experience with Azure DevOps Server, Experience working in Agile environments 📃 Skills: .NET, Docker, Kubernetes, Azure, AzureDevOpsServer, Agile, DevOps, Microservices 🏢 Description: Main Responsibilities Design, develop, and maintain robust backend solutions. Collaborate across teams to ensure seamless software integration. Participate in the full software development lifecycle. Implement DevOps practices for continuous integration and delivery. Optimize application performance and scalability. Review and improve code quality through peer reviews. Key Requirements Proven experience with .NET development. Strong knowledge of Docker and Kubernetes . Familiarity with Microsoft Azure and Azure DevOps Server . Experience working in Agile environments . Strong problem-solving skills. Nice to Have Experience with microservices architecture . Knowledge of additional programming languages. Familiarity with front-end technologies.

🏢 Summary: The offer is for a Backend .NET Developer responsible for building and maintaining scalable backend solutions within a DevOps-driven environment. The role involves full software development lifecycle participation, cloud integration, and performance optimization. The position requires collaboration in Agile teams and ensuring high code quality and seamless deployment processes. 🗂️ Requirements: Proven experience with .NET development, Strong knowledge of Docker, Strong knowledge of Kubernetes, Familiarity with Microsoft Azure, Experience with Azure DevOps Server, Experience working in Agile environments, Experience implementing CI/CD practices, Ability to optimize application performance and scalability 📃 Skills: .NET, Docker, Kubernetes, Azure, AzureDevOps, CI/CD, Agile 🏢 Description: Main Responsibilities Design, develop, and maintain robust backend solutions. Collaborate across teams to ensure seamless software integration. Participate in the full software development lifecycle. Implement DevOps practices for continuous integration and delivery. Optimize application performance and scalability. Review and improve code quality through peer reviews. Key Requirements Proven experience with .NET development. Strong knowledge of Docker and Kubernetes . Familiarity with Microsoft Azure and Azure DevOps Server . Experience working in Agile environments . Strong problem-solving skills. Nice to Have Experience with microservices architecture . Knowledge of additional programming languages. Familiarity with front-end technologies.

🏢 Summary: The offer is for a Data Engineer/DevOps professional to build and maintain scalable data platforms and cloud infrastructure, automate data workflows using CI/CD and Infrastructure as Code, and optimize data pipelines for high availability and security. The role focuses on managing data processing environments and supporting model deployment in collaboration with data teams. 🗂️ Requirements: Proficiency in Linux/Unix administration, Strong Shell scripting skills, Advanced knowledge of Python, Advanced knowledge of SQL, 3–5 years experience in Data Engineering or DevOps, Degree in Computer Science, Data Engineering, or related field 📃 Skills: Linux, Unix, Shell, Python, SQL, Azure, Spark, Databricks, Docker, Kubernetes, Terraform, Ansible, Hadoop, Kafka, CICD 🏢 Description: Key Responsibilities Infrastructure Management: Build and maintain scalable data platforms and cloud-based infrastructure. Automation: Implement CI/CD pipelines for data workflows and automate manual processes using Infrastructure as Code (IaC). Pipeline Optimization: Monitor, troubleshoot, and optimize data processing jobs to ensure high availability. Security & Compliance: Ensure data integrity and security across all environments. Collaboration: Work closely with Data Scientists and Engineers to streamline the deployment of data models. Requirements Systems & Scripting: Strong proficiency in Linux/Unix administration and Shell scripting. Programming: Advanced knowledge of Python and SQL . Mindset: Exceptional analytical and problem-solving skills. Education: Degree in Computer Science, Data Engineering, or a related technical field. Experience: 3–5 years of proven experience in Data Engineering or a DevOps-related role. Nice-to-have Cloud & Big Data: Hands-on experience with Azure , Apache Spark , and Databricks . DevOps Tools: Proficiency with Docker , Kubernetes , CI/CD tools, and IaC (e.g., Terraform, Ansible). Data Ecosystems: Familiarity with Big Data technologies such as Hadoop or Kafka .

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

🏢 Summary: Senior technical role leading the design, optimization, and delivery of core business applications within a large IT transformation program. The position focuses on Java-based microservices, cloud and DevOps adoption, and collaboration with architecture and infrastructure teams. It combines hands-on development expertise with technical leadership across strategic platforms. 🗂️ Requirements: 6+ years of experience with Java microservices, Strong experience with JEE and Spring Boot, Experience in API and REST development, Proficiency in Kubernetes, Proficiency in Python, Experience with cloud migration projects, Hands-on experience with Oracle Database and WebLogic, Experience with messaging systems such as IBM MQ or WebSphere, Knowledge of IT security standards, Understanding of functional and technical architecture principles, Fluency in English 📃 Skills: Java, JEE, SpringBoot, REST, API, Microservices, Kubernetes, Python, Oracle, WebLogic, IBMMQ, WebSphere, DevOps, Agile, CloudMigration, Architecture, Security 🏢 Description: Key Responsibilities: Technical Leadership: Provides expert technical guidelines and support to IT analysts and development teams. Application Optimization: Identifies improvement and optimization opportunities for major core business applications. Strategic Delivery: Contributes to the delivery of high-priority projects within core business platforms. Infrastructure Collaboration: Partners with Architects, Security, and Infrastructure teams to design and evolve technical solutions. IT Transformation: Drives the adoption of DevOps, Agile methodologies, and AI readiness as part of broader group transformation programs. Technical Requirements: Java Expertise: Over 6 years of experience with Java microservices, JEE, Spring Boot, and API/REST development. Cloud & DevOps: Proficiency in Kubernetes and Python, with cloud migration expertise and DevOps knowledge listed as significant advantages. Data & Middleware: Experience with Oracle components (Database, WebLogic) and messaging flows such as IBM MQ or WebSphere. Standards & Architecture: Deep awareness of IT security standards, quality metrics, and functional/technical architecture principles. Professional Skills: Fluency in English with the ability to present complex technical topics to senior stakeholders.

🏢 Summary: Technical Project Manager role responsible for leading end-to-end software development projects in a technology-driven environment. The position focuses on Agile delivery, stakeholder communication, risk management, and coordination of cross-functional teams to deliver high-quality software solutions. The role requires strong technical understanding of SDLC, modern architectures, and data-driven project optimization. 🗂️ Requirements: Proven experience managing software development projects, Strong practical knowledge of Agile, Scrum, Kanban, and Waterfall, Proficiency in Jira and Confluence, Solid understanding of SDLC, Understanding of APIs, Cloud, CI/CD, and Git, Experience coordinating developers, QA, and DevOps teams, Experience with vendor-side project management and external clients, Ability to use Agile metrics such as Velocity, Burndown, Cumulative Flow, Understanding of microservices architecture and automated testing environments, Experience managing projects involving AI, Cloud, or Big Data 📃 Skills: Jira, Confluence, Agile, Scrum, Kanban, Waterfall, SDLC, APIs, Cloud, CICD, Git, AWS, Azure, GCP, AI, MachineLearning, BigData, Microservices, DevOps 🏢 Description: Requirements Experience : Proven track record of managing software development projects, preferably in a software house or tech company . Methodologies : Strong practical knowledge of Agile , Scrum , Kanban , and traditional Waterfall frameworks. Tools : Proficiency in project management software, specifically Jira , Confluence . Technical Literacy : Solid understanding of the Software Development Life Cycle (SDLC) and basic technical concepts (APIs, Cloud, CI/CD, Git) . Soft Skills : Excellent leadership, negotiation, problem-solving, and conflict-resolution abilities. Nice to have Certifications : PMP , PRINCE2 , Professional Scrum Master (PSM I / PSM II) , or Certified Scrum Master (CSM) . Technical Background : Former experience as a software developer , QA engineer , or system analyst (Technical Project Manager profile). Domain Expertise : Industry-specific knowledge in high-demand sectors like FinTech or Gaming . Emerging Technologies : Hands-on experience managing projects involving AI/Machine Learning , Cloud Computing (AWS/Azure/GCP) , or Big Data . Client Management : Proven experience in vendor-side project management , dealing directly with external clients. Data & Analytics : Ability to use data-driven insights and metrics (such as Velocity, Burndown charts, and Cumulative Flow) to optimize team performance. DevOps Awareness : Understanding of modern deployment pipelines, microservices architecture, and automated testing environments. Responsibilities Project Planning : Define project scope, goals, and deliverables in collaboration with senior management and stakeholders. Timeline Management : Develop detailed project plans, schedules, and roadmaps using Agile/Scrum methodologies. Team Coordination : Lead, motivate, and coordinate cross-functional teams including software developers, QA engineers, and DevOps. Resource Allocation : Manage project resource availability, workload distribution, and budget tracking. Risk Management : Identify, assess, and mitigate project risks and technical bottlenecks to prevent delays. Stakeholder Communication : Serve as the primary point of contact between technical teams and business stakeholders, delivering regular status reports. Quality Assurance : Ensure that all software deliverables meet quality standards, acceptance criteria, and project specifications. Sprint Management : Facilitate Scrum ceremonies including Daily Stand-ups, Sprint Planning, Backlog Refinement, and Retrospectives. Client A global leader with a sharp focus on lottery solutions. A confident step forward building on a long history of delivering safe and secure technology, demonstrating strong commitment to customers as a dedicated lottery service provider. Leveraging collective insight, experience, and expertise to create reliable and engaging solutions that help lottery clients achieve objectives, meet player needs, and deliver meaningful benefits to communities.

🏢 Summary: Development of containerized backend applications in Python running on Kubernetes in GCP, along with building frontend interfaces in TypeScript and React. The role involves working with relational databases, designing REST APIs, writing tests, and maintaining code quality within a microservices architecture. The position also includes CI/CD practices and collaboration in a Scrum environment. 🗂️ Requirements: Very good knowledge of Python confirmed by several years of experience, Knowledge of TypeScript and React, Knowledge of REST API and FastAPI, Knowledge of relational databases (PostgreSQL, Oracle or other), Knowledge of microservices architecture, Knowledge of Linux environment, Experience with Kubernetes and containerized applications, Knowledge of CI/CD practices and tools, Knowledge of GitLab, Jira, Confluence, Ability to write unit and integration tests 📃 Skills: Python, TypeScript, React, REST, FastAPI, PostgreSQL, Oracle, Kubernetes, Docker, GCP, Linux, GitLab, Jira, Confluence, CICD, Microservices 🏢 Description: Zakres obowiązków: Tworzenie i rozwijanie skonteneryzowanych aplikacji backendowych w Python uruchamianych w środowisku kubernetes na GCP Tworzenie interfejsów graficznych (TypeScript oraz React) Praca z relacyjnymi bazami danych (PostgreSql, Oracle lub inne) Diagnozowanie i rozwiązywanie problemów technicznych Pisanie testów jednostkowych i integracyjnych dla własnego kodu Code review kodu innych członków zespołu Udział w codziennych spotkaniach (daily) oraz innych ceremoniach framework SCRUM Wymagania: Bardzo dobra, potwierdzona wieloletnim doświadczeniem znajomość języka Python Znajomość TypeScript i React Znajomość dobrych praktyk i wzorców projektowych Dobra znajomość REST API (FastAPI) Dobra znajomość relacyjnych baz danych (PostgreSQL, Oracle lub innej) Znajomość architektury mikroserwisów Znajomość środowiska Linux Znajomość GitLab, Jira, Confluence Znajomość praktyk i narzędzi CI/CD Umiejętności analitycznego myślenia i szybkiego przyswajania wiedzy Samodzielności i kreatywności w rozwiązywaniu problemów Mile widziane: Znajomość języka Rust Znajomość Google BigQuery Znajomość rozwiązań z obszaru analityki na GCP Doświadczenie z aplikacjami uruchamianymi w kontenerach (Docker/Podman), znajomość Kubernetes