June 12, 2026

Senior Automation QA 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 Kraków, Poland. Our client is is a British wholesale distributor. 

This role is for a Quality Assurance Engineer who is excited about testing AI-powered systems, working with non-deterministic outputs, and helping ensure reliability, correctness, and trust in a production-grade platform. You will be part of a newly formed engineering team and will have significant influence over testing strategy, quality standards, and tooling. We are looking for someone who can define and build the QA strategy from the ground up, including test frameworks, quality standards, and processes for validating both deterministic and AI-powered system behaviors.

Office work is expected 2-3 days per week. 

Requirements:

  • Strong experience in Java / Node.js (or TypeScript) for building and maintaining test automation frameworks and backend testing utilities.

  • Ability to work effectively in environments with a high degree of uncertainty, taking a pragmatic, solution-oriented approach to problem-solving.

  • Strong understanding of test design principles, with hands-on experience in automating tests for APIs, backend services, and front-end applications.

  • Experience working with LLMs and AI tools to improve development and testing efficiency (e.g., code generation, test automation, debugging).

Responsibilities:

  • Develop and continuously enhance robust, scalable test automation frameworks using Java / Node.js (Playwright / REST Assured).

  • Drive quality initiatives and testing strategies in collaboration with cross-functional teams, including development and product.

  • Designing validation approaches for AI-driven and non-deterministic components, including defining test datasets, evaluation criteria, and acceptable quality thresholds.

  • Own the execution and management of both manual and automated test cases.

  • Investigate and troubleshoot issues using HTTP protocols and browser DevTools, ensuring precision in defect isolation and resolution.

  • Take ownership of the testing lifecycle, proactively identifying opportunities to improve test coverage, reliability, and overall system quality.

  • Continuously improve QA processes, tooling, and metrics to support scalable, production-grade AI systems.

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, 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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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!