May 12, 2026
Senior AQA Engineer with AI
Senior • Hybrid
Krakow, Poland
Svitla Systems Inc. is looking for a Senior Automation QA Engineer with AI for a full-time position (40 hours per week) in Poland.
Our client is one of the world's largest food retailers. The team is launching a greenfield project to build a new module for the app. One of the main objectives of this project is to utilize AI as much as possible across every part of the delivery - from design and development to testing, automation, and delivery. The team needs an Automation QA Engineer with experience using AI in a daily tester's job.
As an AQA Engineer, you'll be a key contributor to defining and implementing the quality and automation foundations for a distributed, API‐driven system. You'll collaborate closely with engineers and product teams, ensuring quality is built in from the earliest stages and supported by robust automation and AI‐assisted testing.
Office work is expected 2-3 days per week in Kraków.
CET Working hours.
Tech stack:
Micro Frontends (MFE) with a Backend for Frontend (BFF)/ xAPI + Enterprise APIs.
Backend: Java (Spring Boot).
Frontend: JavaScript.
Database: PostgreSQL.
Requirements:
Solid understanding of QA methodologies, with hands‐on experience in frontend, backend, and API testing.
Strong interest and practical experience in applying AI tools to testing, automation, and SDLC optimization.
Understanding of testing microservices‐based systems.
Practical knowledge of HTTP and RESTful APIs.
Hands‐on experience with test automation frameworks (like REST Assure, Playwright).
Experience working with CI/CD pipelines, preferably GitHub Actions.
Familiarity with service mocking and contract testing (WireMock, Pact).
Nice to have:
Experience with performance testing.
Experience setting up or maintaining test environments.
Basic cloud knowledge (Azure / AWS).
Responsibilities:
Collaborate early with the engineering team to influence requirements and define effective test strategies.
Design, develop, and maintain automated tests for backend services, APIs, UI, and end‐to‐end flows.
Validate service interactions and data flows across microservices and BFF layers.
Integrate automated tests into CI/CD pipelines (GitHub Actions).
Actively apply AI‐supported tools to improve test design, execution, and maintenance.
Produce clear test reports and participate in test automation code reviews.
Manage test cases and test cycles (Jira Zephyr).
We offer:
US and EU projects based on advanced technologies.
Competitive compensation based on skills and experience.
Regular performance appraisals to support your growth.
Flexibility in workspace, either remote or our welcoming office.
Bonuses for article writing, public talks, and other activities.
Generous time off, including vacation, national holidays, sick leaves, and family days.
Personalized learning programs tailored to your interests and skill development.
Free tech webinars and meetups organized by Svitla.
Regular corporate online activities.
Awesome team and a friendly, supportive community!
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The role combines hands-on DevOps, cloud engineering, and AI platform development in a rapidly evolving environment. 🗂️ Requirements: Solid experience designing and managing infrastructure for AI/ML or HPC workloads, Proven experience managing and optimizing CI/CD for Azure-based SaaS applications, Hands-on experience with Azure DevOps and standard DevOps tools, Strong scripting skills in PowerShell or Bash, Experience with Terraform or similar configuration management tools, Working knowledge of version control systems, Experience in agile software development environments, Knowledge of SQL and NoSQL databases, Experience with web server configuration (IIS or Tomcat), Understanding of networking technologies (switches, routers, firewalls, VPNs), Strong understanding of security principles, Bachelor’s Degree in Computer Science or related field 📃 Skills: Azure, AzureDevOps, PowerShell, Bash, Terraform, Git, SQL, NoSQL, IIS, Tomcat, Docker, TensorFlow, PyTorch, Scikit-learn, ARM, Ansible, AzureCLI, AzureOpenAI, AzureAIFoundry, AzureDatabricks, AzureDataFactory, AzureServiceBus, AzureRedisCache, AzureMonitoring, NewRelic, Rapid7, CI/CD, YAML 🏢 Description: Svitla Systems Inc. is looking for a Senior MLOps Engineer with ML/AI for Azure for a full-time position (40 hours per week) in Poland. Our client is a leading global provider that gathers information and reports to enhance the environmental and social impacts on the business. You’ll be part of a global team supporting multiple SaaS environments that help make the world a safer place. The team uses Azure as the core, but hosts on various platforms due to specific needs and the rapid pace of development and acquisition. The environment is rapidly shifting from IaaS to PaaS to serverless, with new AI/ML components integrated. So you’ll need to apply your current skill sets and learn new things daily to push the business forward. While you’ll ultimately need a diversity of expert-level skills to succeed, having a deep understanding and experience in just a couple of areas (monitoring, scripting, automation tools, etc.) may get you in the door to a great career. Requirements: Solid experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads. Proven success in managing and optimizing CI/CD for an Azure-based SaaS application. Hands-on experience with standard DevOps tools, including Azure DevOps. Expertise in scripting with at least PowerShell or Bash. Understanding of configuration management tools like Terraform. Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads. Working knowledge of version control/source code management tools. Experience working in an agile software development life cycle. Knowledge of databases, including SQL and NoSQL Strong knowledge of web server configuration and management, such as IIS or Tomcat. Familiarity with local and wide area networking and associated technologies, e.g., switches, routers, firewalls, VPNs. Strong understanding of security principles. Bachelor’s Degree in Computer Science or a similar area of study. Experience working in a technical, fast-paced environment with high demand and high standards. Ability to assimilate information quickly under pressure. Excellent communication and collaboration skills. Ability to communicate effectively with multiple disciplines. Excellent analytical skills with the ability to drive reliability improvements. Strong planning skills to ensure business expectations are met, and projects are delivered on time. Nice to have: Understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn, and their deployment in production environments. Familiarity with cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke-based architecture, Private Endpoints, etc.). Strong understanding of CI/CD (YAML and Classic Pipelines). Experience with PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks). Experience in monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc). Some experience with containers/Docker, either for a microservice-based architecture or Service Oriented, etc. Familiarity with Git, ARM, Terraform, Ansible, Azure CLI, or similar. Responsibilities: Support application infrastructure to ensure the platform is optimized for performance and reliability. Build and maintain supporting infrastructure for cloud environments and applications. Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycle. Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness. Building and Managing enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow), Use a wide range of Azure resources to implement scalable, reliable, and cost-efficient services. Work side by side with your engineers, guiding critical projects, using your subject matter expertise to solve complex problems. Perform and automate system administration services, including installation, configuration, maintenance, and disaster recovery Identify system-level issues related to OS configuration and virtual hardware bottlenecks. Provide automation, auditing, and other tooling for security, compliance, and resource usage. Monitor and improve processes for all deployments. Take ownership of operational excellence to establish and maintain business focused KPI's. Use these metrics not only as a basis for positive transformation, but also as a visible representation of your team's success. Maintain and take ownership of your tasks each sprint, ensuring time worked is logged, and details are added. We offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in the workspace, either remote or in our welcoming office. Comprehensive medical insurance after one month. MultiSport card with access to 2500 sports facilities all over Poland Bonuses for recommendations of new employees. Bonuses for article writing, public talks, and other activities. 15 vacation days, 10 national holidays, 10 sick leaves, and family days off. Personalized learning program tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Welcome and anniversary presents, gifts for children, and more. Regular corporate events and meetups. Awesome team, friendly and supportive community! Ref #5102
Technology
Svitla Systems
Senior Back End Engineer with AI/LLM experince
Senior
Remote
Warsaw, Poland
🏢 Summary: Full-time Senior Back End Engineer role with an AI/LLM focus, responsible for building scalable backend systems and leading the integration of AI capabilities into products and engineering workflows. The position combines hands-on backend development with designing MCP servers, RAG pipelines, and AI-driven automation. It requires driving advanced adoption of LLMs and AI tooling across the development lifecycle. 🗂️ Requirements: 5+ years backend or full-stack software engineering experience, Proficiency in at least one backend language: Python, Go, Node.js, TypeScript, or Java, Experience designing and building production REST or GraphQL APIs, Experience with distributed systems, Strong knowledge of relational databases such as PostgreSQL or MySQL, Experience with caching, queues, and event-driven architectures, Experience with AWS, GCP, or Azure, Experience with CI/CD, containerization, and infrastructure as code, Hands-on experience building or integrating MCP servers, Experience implementing RAG pipelines with embeddings and retrieval logic, Experience integrating LLM APIs in production environments, Experience building AI agents or agentic workflows, Experience with prompt engineering and LLM evaluation, Experience fine-tuning or customizing models, Experience automating testing, code review, or deployment using AI 📃 Skills: Python, Go, Node.js, TypeScript, Java, REST, GraphQL, PostgreSQL, MySQL, AWS, GCP, Azure, CI/CD, Docker, Kubernetes, MCP, RAG, LLM, OpenAI, Anthropic, LangChain, LangGraph, AutoGen, Pinecone, Weaviate, pgvector, Chroma 🏢 Description: Svitla Systems Inc. is looking for a Senior Back End Engineer with AI/LLM for a full-time position (40 hours per week) in Europe. Our client generates opportunities for innovation and enhances time and cost efficiencies for MVNOs, mobile operators, and businesses providing connectivity within the telecom ecosystem. You will not only deliver production-grade backend and full-stack systems, but also help lead the organization's adoption of progressive AI tooling and engineering practices. It is a hands-on engineering role with an AI-forward mandate: we want someone who pushes the team beyond passive AI use to build, integrate, and operationalize AI capabilities across our codebase, workflows, and products. Requirements 5+ years of experience in software engineering in backend or full-stack roles. Strong knowledge of at least one modern backend language (Python, Go, Node.js/TypeScript, Java, or similar). Experience designing and building production REST/GraphQL APIs and distributed systems. Extensive knowledge of databases (PostgreSQL, MySQL, or similar) and familiarity with caching, queues, and event-driven architectures. Knowledge of cloud environment (AWS, GCP, or Azure) and modern DevOps practices (CI/CD, containerization, infrastructure as code). Have experience not just using AI (as in using Claude, Cursor, and Codex), but also building an MCP server, understanding of the RAG and LLM, and LPM that can help automate the testing, etc. Strong written and verbal communication; able to mentor and influence peers. Hands-on experience with AI/LLM engineering, including at least several of the following: Building or integrating with MCP servers; Implementing RAG pipelines (embeddings, vector databases, retrieval logic); Working with LLM APIs (OpenAI, Anthropic, Google) in production; Building AI agents or agentic workflows (LangChain, LangGraph, AutoGen, or similar); Prompt engineering and LLM evaluation; Fine-tuning or model customization; Active, sophisticated use of AI coding assistants (Claude Code, Cursor, Codex, GitHub Copilot) - able to articulate workflows, limits, and best practices; Experience automating engineering processes (testing, code review, deployment) with AI. Nice to have Open-source contributions to AI/LLM tooling or the MCP ecosystem. Familiarity with vector databases (Pinecone, Weaviate, pgvector, Chroma). Background in telecommunications, networking, or SaaS infrastructure Familiarity with model evaluation frameworks and AI observability tools. Bachelor's or Master's in Computer Science or a related field. Responsibilities Design, build, and maintain scalable backend services and APIs supporting the platform. Contribute to full-stack feature development, collaborating with frontend, infrastructure, and product teams. Write clean, well-tested, production-ready code with strong attention to performance, reliability, and maintainability. Participate in architecture decisions, code reviews, and technical planning. Lead by example in advanced AI tool adoption — go beyond using Claude, Cursor, and Codex to shape how the team uses them actively. Design and build MCP servers to expose internal data sources, APIs, and tools to LLMs and AI agents. Architect and implement RAG systems for internal and product-facing use cases. Apply working knowledge of LLMs and LPMs to evaluate, fine-tune, and integrate models into engineering workflows. Build AI-driven automation for testing, code review, documentation, and operational workflows. Mentor engineers on effective AI tool usage, prompt engineering, and AI-augmented development practices. Evaluate emerging AI tools, frameworks, and platforms; recommend adoption strategies. We offer US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in workspace, either remote or our welcoming office. Bonuses for article writing, public talks, and other activities. Generous time off, including vacation, national holidays, sick leaves, and family days. Personalized learning programs tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Regular corporate online activities. Awesome team and a friendly, supportive community!