UI Path Automation Engineer

📍 Job Overview

Job Title: UI Path Automation Engineer
Company: Pasiona Consulting
Location: Remote (Spain)
Job Type: Full-Time
Category: Revenue Operations / GTM Operations (Automation Focus)
Date Posted: October 29, 2025
Experience Level: Mid-Level (2-5 years)
Remote Status: Fully Remote

🚀 Role Summary

• Drive automation initiatives by developing and optimizing prompts for Large Language Models (LLMs) to enhance data classification and extraction accuracy.
• Design, implement, and refine automated document processing workflows, focusing on categorization, labeling, and efficient data extraction.
• Collaborate cross-functionally to translate business requirements into robust AI-powered automation solutions.
• Leverage expertise in UiPath and Microsoft technologies to build sophisticated integration processes.
• Continuously monitor, evaluate, and improve the performance of AI models and prompting strategies in production environments.

📝 Enhancement Note: While the title is "UI Path Automation Engineer," the core responsibilities heavily involve AI, LLMs, and Intelligent Document Processing (IDP). This role sits at the intersection of traditional automation engineering and emerging AI capabilities, with a strong emphasis on data extraction and classification, aligning well with GTM and RevOps objectives for process efficiency and data quality. The "Remote from Spain" designation suggests a need for candidates to be legally authorized to work in Spain and potentially adhere to Spanish working hours and regulations, even if fully remote.

📈 Primary Responsibilities

• Develop, test, and optimize prompts for Large Language Models (LLMs) to achieve high accuracy in file classification and data extraction.
• Design and implement end-to-end automated workflows for document processing, including categorization, metadata tagging, and extraction of key information.
• Integrate LLMs with UiPath Document Understanding and other Microsoft ecosystem tools to create intelligent automation solutions.
• Collaborate with data scientists, engineers, and business analysts to gather requirements and translate them into actionable prompt engineering and automation strategies.
• Build and maintain robust integrations between UiPath and various technologies to streamline business processes.
• Monitor deployed automation solutions, analyze performance metrics, and implement continuous improvements for AI models and prompting techniques.
• Create comprehensive documentation for processes, prompts, and best practices to ensure maintainability and facilitate knowledge sharing within the operations team.
• Utilize .NET or Python for scripting automation tasks and interfacing with AI models.
• Employ Git and Azure DevOps for version control and CI/CD pipelines in automation development.

📝 Enhancement Note: The responsibilities highlight a blend of prompt engineering for AI models and practical automation development using UiPath and Microsoft tools. This is crucial for candidates to understand, as it requires both a strategic understanding of AI capabilities and hands-on technical implementation skills. The emphasis on "testing and optimizing prompts" points towards an iterative development approach common in AI/ML projects.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in Computer Science, Engineering, Data Science, or a related quantitative field is implied by the technical requirements. Experience: Minimum of 3 years of practical experience in UiPath development, with a proven track record of creating integration processes across different technologies.

Required Skills:

• UiPath Expertise: 3+ years of hands-on experience developing automation solutions with UiPath.
• LLM Prompt Engineering: Demonstrated ability to develop, test, and optimize prompts for Large Language Models (e.g., OpenAI, Azure OpenAI).
• Intelligent Document Processing (IDP): Experience with IDP solutions, particularly UiPath Document Understanding.
• Microsoft Ecosystem Integration: Proficiency in integrating UiPath with Microsoft technologies.
• Programming Languages: Strong development skills in .NET or Python for automation scripting and model interaction.
• Version Control: Experience with Git and Azure DevOps for code management and CI/CD.
• Document Processing Workflows: Ability to design and implement automated categorization, labeling, and data extraction processes.
• Analytical Skills: Capability to monitor, evaluate, and improve the performance of AI models and automation solutions.
• Technical Documentation: Skill in documenting processes, prompts, and best practices.

Preferred Skills:

• Experience with other AI/ML frameworks or libraries.
• Familiarity with cloud platforms (e.g., Azure, AWS) for deploying and managing automation solutions.
• Understanding of data analysis and reporting for performance metrics.
• Experience in agile development methodologies.
• Fluency in both Spanish and English.

📝 Enhancement Note: The requirement for 3+ years in UiPath is a strong indicator of the desired experience level. The inclusion of LLM prompt engineering and integration with UiPath Document Understanding points to a role focused on modernizing document processing with AI, which is a significant trend in GTM and RevOps for improving efficiency and data accuracy.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• UiPath Project Examples: Showcase at least 2-3 complex UiPath automation projects, detailing the business problem, the implemented solution, and quantifiable results (e.g., time saved, error reduction).
• IDP/LLM Integration Case Studies: Include specific examples of projects where LLMs or IDP solutions were integrated with UiPath for data extraction or classification. Highlight the prompt engineering aspects and how accuracy was achieved/improved.
• Workflow Automation Designs: Present diagrams or descriptions of automated workflows designed and implemented, emphasizing efficiency gains and scalability.
• Technical Documentation Samples: Provide examples of process documentation, including workflow logic, integration points, and any custom scripts (Python/.NET).

Process Documentation:

• Demonstrate experience in documenting complex automation processes, including detailed steps, decision logic, and error handling mechanisms.
• Showcase an understanding of creating and maintaining technical specifications for automation projects, ensuring clarity for future maintenance and enhancements.
• Ability to articulate the methodology used for testing and optimizing automation workflows, including performance benchmarks and validation steps.

📝 Enhancement Note: For roles involving automation and AI, a portfolio is critical. Candidates should be prepared to demonstrate not just the "what" (the automation they built) but the "how" (their process for designing, building, testing, and optimizing) and the "why" (the business impact and ROI). Specific examples of LLM prompt optimization and integration with UiPath Document Understanding will be highly valued.

💵 Compensation & Benefits

Salary Range: Based on the "Mid-Level (2-5 years)" experience, "Remote Solely" work arrangement, and the location in Spain, a competitive salary range for a UI Path Automation Engineer with AI/LLM integration skills in Spain would typically fall between €35,000 and €55,000 annually. This estimate is based on industry benchmarks for specialized automation and AI roles in the Spanish market, considering the cost of living and demand for such skills.

Benefits:

• Birthday Off: An additional paid day off to celebrate your birthday.
• Improved Paid Leave: Enhanced paid leave entitlements, promoting better work-life balance.
• Private Health Insurance: Comprehensive private health insurance for employees and potentially dependents.
• Flexible Compensation Options: Opportunities for flexible benefits or compensation structures to suit individual needs.
• Extra Vacation Days: Additional vacation days awarded based on employee tenure, recognizing loyalty and commitment.
• Diversity & Inclusion Commitment: Pasiona Consulting actively promotes diversity and equal opportunities.

Working Hours: 40 hours per week, typical for full-time roles. Given the remote nature and designation of "Remote from Spain," adherence to standard Spanish working hours (e.g., 9 AM - 6 PM CET with a lunch break) is likely expected, with potential for flexibility.

📝 Enhancement Note: The salary estimate is a crucial addition for operations professionals, as compensation is a key factor. The benefits provided are attractive and focus on employee well-being and work-life balance, which are increasingly important for retaining top talent in specialized tech roles. The "Remote from Spain" context is important for salary benchmarking.

🎯 Team & Company Context

🏢 Company Culture

Industry: Consulting Services (Technology/Automation Focus). Pasiona Consulting likely specializes in helping other businesses implement and optimize technology solutions, particularly in automation and AI. Company Size: Based on typical job postings from Personio, Pasiona Consulting is likely a growing mid-sized firm. This implies a dynamic environment with opportunities for impact but also potential for evolving processes and structures. Founded: Not specified, but a consulting firm of this nature typically has a few years of operational history to establish its client base and service offerings.

Team Structure:

• Operations Focus: The role is within an operations-oriented function, likely supporting internal business processes or client-facing automation projects.
• Cross-Functional Collaboration: Expected to work closely with data scientists, AI engineers, business analysts, and potentially client stakeholders.
• Reporting: Likely reports to an Automation Lead, Operations Manager, or Head of Technology, within a structure that values technical expertise and problem-solving.

Methodology:

• Agile Development: Likely employs agile methodologies for project execution, requiring adaptability and iterative development.
• Data-Driven Decision Making: Emphasis on performance metrics, A/B testing for prompts, and ROI analysis for automation projects.
• Process Optimization: Core to the company's mission, focusing on improving efficiency and effectiveness through technology.

Company Website: https://www.pasiona.com/ (Derived from the domain)

📝 Enhancement Note: Understanding the company's focus on consulting and automation helps frame the role. It's not just about building automations but about solving business problems for clients or internal teams through technology. The team structure suggests a collaborative environment where technical skills are highly valued.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Engineer, requiring significant practical experience (3+ years) and the ability to work independently on complex tasks, including prompt engineering and system integrations. It's a stepping stone towards senior automation roles, lead positions, or specialized AI/ML engineering tracks. Reporting Structure: The engineer will likely report to a manager or lead who oversees automation projects and strategy. This structure allows for guidance while providing autonomy in execution. Operations Impact: The role has a direct impact on operational efficiency by automating manual tasks, improving data accuracy, and streamlining document processing. This directly contributes to cost savings, faster turnaround times, and better decision-making through reliable data.

Growth Opportunities:

• Advanced AI/ML Skills: Deepen expertise in LLMs, prompt engineering, and potentially other AI/ML techniques relevant to document intelligence.
• UiPath Specialization: Become a subject matter expert in UiPath, potentially gaining certifications and leading complex UiPath implementations.
• Project Leadership: Transition into roles managing automation projects, leading teams, and defining automation strategies.
• Cross-Functional Expertise: Develop a broader understanding of business processes across different departments or client industries.
• Mentorship: Opportunities to mentor junior automation engineers as the team grows.

📝 Enhancement Note: For operations professionals, understanding career trajectory is key. This role offers a clear path to specialize in high-demand areas like AI-driven automation and can lead to leadership opportunities within a consulting or technology-focused firm.

🌐 Work Environment

Office Type: Fully Remote. This indicates a distributed workforce where collaboration primarily occurs through digital tools. Office Location(s): Remote work is specified as "from Spain." While there isn't a physical office requirement, candidates must be located in Spain to comply with employment regulations and potentially time zone alignment. Workspace Context:

• Digital Collaboration: Heavy reliance on communication and collaboration tools (e.g., Slack, Microsoft Teams, Zoom) for team interaction, project discussions, and knowledge sharing.
• Tool Proficiency: Access to and proficiency in a suite of digital tools for development, project management, and communication.
• Autonomy and Self-Management: Requires a high degree of self-discipline, time management, and proactive communication to thrive in a remote setting.

Work Schedule: Standard 40-hour work week. While remote, maintaining consistent availability during core business hours (likely CET, given the Spain location) is important for team synchronization and client interactions.

📝 Enhancement Note: The fully remote nature from Spain is a significant factor. Candidates should be comfortable with remote work tools and practices and understand the implications for time zone alignment and potential legal/tax considerations within Spain.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with HR or a recruiter to assess basic qualifications, experience, and cultural fit.
• Technical Interview(s): In-depth discussions focusing on UiPath experience, LLM prompt engineering techniques, AI integration, .NET/Python skills, and problem-solving abilities. Expect scenario-based questions and technical deep-dives.
• Portfolio Review: A dedicated session where candidates present their work. This is crucial for this role. Be prepared to walk through 2-3 key projects, explaining your role, the technical challenges, your solutions (especially prompt optimization), and the business impact.
• Behavioral/Team Fit Interview: Questions assessing collaboration style, problem-solving approach, ability to work remotely, and alignment with Pasiona's values.
• Final Interview: Potentially with a senior leader to discuss career aspirations and overall fit.

Portfolio Review Tips:

• Highlight AI Integration: Make sure your presentation clearly showcases your experience with LLMs and UiPath Document Understanding. Detail how you approached prompt design and optimization for specific tasks.
• Quantify Impact: For each project, clearly state the business problem solved and the measurable results achieved (e.g., "Reduced manual data entry time by 70%," "Increased data extraction accuracy from 85% to 95%").
• Technical Depth: Be ready to explain the technical architecture, the specific UiPath activities used, the logic behind your prompts, and how you handled errors and edge cases.
• Storytelling: Frame your projects as compelling narratives – the challenge, your innovative solution, and the positive outcome.
• Demonstrate Remote Collaboration: If possible, mention how you collaborated with team members or stakeholders remotely on these projects.

Challenge Preparation:

• UiPath Scenario: Be ready to discuss how you would approach automating a common business process using UiPath, potentially with an IDP component.
• Prompt Design Exercise: You might be given a hypothetical document classification or data extraction task and asked to outline your prompt engineering strategy.
• Troubleshooting: Prepare to discuss how you would diagnose and resolve issues in an existing automation.

📝 Enhancement Note: The portfolio review is the most critical part for this role. Candidates need to prepare meticulously to showcase their practical experience with the specific technologies and methodologies required, especially the blend of UiPath and AI/LLM integration.

🛠 Tools & Technology Stack

Primary Tools:

• UiPath Platform: UiPath Studio, Orchestrator, Robots (Attended/Unattended), UiPath Document Understanding.
• AI/LLMs: OpenAI API, Azure OpenAI Service, other LLM providers.
• Microsoft Technologies: Azure services (potential for Azure DevOps, Azure Functions), Microsoft ecosystem tools.

Analytics & Reporting:

• Version Control: Git, Azure DevOps.
• Potential for: BI tools (e.g., Power BI) for reporting on automation performance.

CRM & Automation:

• Integration Tools: UiPath's connectors, potentially custom API integrations.
• Scripting: .NET, Python for custom logic, data manipulation, and API interactions.

📝 Enhancement Note: Proficiency in the specified tools is non-negotiable. Candidates should be ready to speak to their experiencelevel with each, including specific use cases and challenges encountered. The integration of LLMs with UiPath Document Understanding is a key technical requirement.

👥 Team Culture & Values

Operations Values:

• Efficiency & Optimization: A core drive to streamline processes and eliminate manual effort through automation and AI.
• Innovation: Willingness to explore and adopt new technologies like LLMs to solve business problems.
• Collaboration: Strong emphasis on working effectively with diverse technical and business teams.
• Data-Driven: Utilizing metrics to measure success, identify areas for improvement, and justify automation investments.
• Problem-Solving: A proactive and analytical approach to identifying and resolving operational challenges.

Collaboration Style:

• Remote-First: Comfortable and effective in a fully remote working environment, utilizing digital tools for communication and collaboration.
• Cross-Functional: Engages actively with business stakeholders to understand needs and with technical peers for development and integration.
• Knowledge Sharing: Likely encourages sharing of best practices, code snippets, and lessons learned, especially within the automation and AI domains.

📝 Enhancement Note: Understanding Pasiona's values helps candidates tailor their responses during interviews. Highlighting how their work aligns with efficiency, innovation, and data-driven approaches will be beneficial.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Keeping pace with the fast-changing advancements in LLMs and AI technologies.
• Prompt Engineering Complexity: Achieving consistent and accurate results from LLMs can be challenging, requiring continuous refinement.
• Integration Hurdles: Seamlessly integrating LLMs and UiPath with existing enterprise systems can be technically demanding.
• Scalability of AI Solutions: Ensuring that AI-driven automations can scale effectively to meet growing business demands.
• Remote Team Dynamics: Maintaining strong team cohesion and communication in a fully distributed environment.

Learning & Development Opportunities:

• AI/ML Specialization: Opportunities to delve deeper into AI model training, fine-tuning, and advanced prompt engineering techniques.
• UiPath Certifications: Potential for sponsored certifications to validate expertise in the UiPath platform.
• Exposure to Diverse Projects: Working on a variety of client or internal projects across different industries and use cases.
• Emerging Technologies: Gaining experience with cutting-edge technologies in automation and AI.

📝 Enhancement Note: Acknowledging these challenges and framing them as opportunities for growth demonstrates maturity and a proactive mindset. The rapid evolution of AI is a key challenge, but also a significant growth area for professionals in this field.

💡 Interview Preparation

Strategy Questions:

• Automation Strategy: "How would you approach designing an automation strategy for a company looking to streamline its invoice processing?" Focus on identifying opportunities, selecting the right tools (UiPath + LLM), and measuring success.
• LLM Integration: "Describe a situation where you integrated an LLM into a workflow. What were the key challenges in prompt design, and how did you overcome them?" Be ready to discuss specific prompt structures, testing methodologies, and iteration processes.
• Problem-Solving: "Imagine an existing UiPath automation is suddenly failing intermittently. How would you diagnose and resolve the issue?" Emphasize a systematic troubleshooting approach, checking logs, robot status, and dependencies.

Company & Culture Questions:

• "Why are you interested in Pasiona Consulting and this specific role?" Connect your skills and career goals to the company's focus on automation and AI.
• "How do you ensure effective collaboration in a remote team environment?" Provide examples of your communication strategies and proactive engagement.
• "How do you stay updated with the latest trends in AI and automation?" Discuss resources like blogs, conferences, online courses, and communities.

Portfolio Presentation Strategy:

• Structure: Start with a brief overview of Pasiona Consulting and the role. Then, dedicate 5-7 minutes per project to present: Problem -> Solution (highlighting your specific contributions, especially LLM/UiPath integration) -> Results (quantified impact) -> Lessons Learned.
• Visuals: Use clear slides with diagrams, screenshots (if possible and anonymized), and key metrics.
• Engagement: Encourage questions throughout or at the end. Be prepared to elaborate on any technical detail or business impact.
• Focus on LLMs/IDP: Explicitly highlight how you used LLMs for data extraction/classification and integrated them with UiPath Document Understanding.

📝 Enhancement Note: Preparing specific examples for each question type, especially those related to LLMs and UiPath integration, will be crucial. Demonstrating a clear understanding of the business impact of your technical work is paramount.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Pasiona's career portal.
• Tailor Your Resume: Ensure your resume clearly highlights your 3+ years of UiPath experience, specific projects involving LLMs and Document Understanding, and proficiency in .NET/Python and Git/Azure DevOps. Use keywords from the job description.
• Prepare Your Portfolio: Curate 2-3 of your strongest automation projects, with a focus on those demonstrating LLM integration and quantifiable business impact. Be ready to present these in detail.
• Research Pasiona Consulting: Understand their services, client success stories, and company values to articulate your interest and cultural fit.
• Practice Interview Questions: Rehearse answers to common technical, behavioral, and situational questions, with a particular emphasis on your experience with UiPath, LLMs, and remote collaboration.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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