AI Engineer

• Designing, building, and configuring AI agents in Copilot Studio, including defining roles, guardrails, prompt libraries, memory boundaries, workflows, and validation steps.
• Developing and maintaining structured prompt libraries for AI agents supporting tasks across the SDLC.
• Designing and implementing workflows for AI-driven test generation, analysis, and reporting.
• Integrating AI agents with enterprise tools, including collaboration platforms, issue tracking systems, test management systems, and test automation frameworks.
• Implementing AI observability practices, including usage tracking, cost monitoring, and output quality evaluation.
• Establishing and monitoring controls for hallucinations, safety risks, and potential data leakage issues.
• Defining and maintaining guardrails to ensure reliable, secure, and compliant AI behavior.
• Optimizing prompts, workflows, and agent logic to improve accuracy, performance, and operational efficiency.
• Collecting feedback from QA and engineering teams and implementing continuous tuning and improvement cycles.
• Supporting the evolution of AI-augmented QA processes, including automated test creation, defect triage, reporting, and coverage expansion.
• Collaborating with QA Leads, Automation Engineers, and project stakeholders to align AI capabilities with the QA operating model.
• Supporting onboarding and enablement of teams adopting AI agents.
• Documenting agent behavior, integration patterns, and usage guidelines.

• Experience as an AI Engineer, ML Engineer, or similar role for 3+ years.
• Strong experience with Large Language Models (LLMs) and prompt engineering.
• Hands-on experience with Copilot Studio or similar AI orchestration platforms.
• Experience with software development lifecycle (SDLC) processes, QA methodologies, and test automation workflows.
• Experience integrating AI systems with enterprise tools (e.g., issue tracking systems, test management systems, CI/CD tools).
• Understanding software architecture, APIs, and system integrations.
• Knowledge of responsible AI principles, hallucination mitigation techniques, and model evaluation approaches.
• Strong analytical and problem-solving skills.
• Level of English – from Intermediate+ and above.

• Experience with mobile or API test automation frameworks (e.g., Appium, Selenium, REST API tools).
• Background in QA Automation or DevOps.
• Experience designing AI guardrails, memory strategies, and multi-step agent workflows.
• Familiarity with dashboards or tools for usage and cost analytics.

• Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc.;
• The opportunity to change the project and/or develop expertise in an interesting business domain;
• Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant;
• Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee;
• The opportunity to earn additional up to 1,000 USD per month by participating in the company's activities;
• Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated;
• Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies);
• Certification compensation (AWS, PMP, etc);
• Referral program;
• English courses;
• Private health insurance and compensation for sports activities.

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