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Parser Limited Logo Parser Limited · IT - Software Development

AI & Automation Engineer

Spain Employment contract · Job Posted May 20, 2026
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Job Responsibility

  • Lead discovery sessions with business stakeholders to audit manual, repetitive, or error-prone processes and build a prioritized automation roadmap
  • Design and deploy AI-powered workflows using LLMs (e.g., OpenAI, Anthropic, Azure OpenAI) to automate tasks such as document processing, classification, summarization, triage, and decision support
  • Build and maintain AI agents and multi-step pipelines that operate autonomously across business functions (HR, Finance, Operations, Customer Success, etc.)
  • Evaluate and adopt emerging AI tooling (e.g., agentic frameworks, RAG pipelines, fine-tuning approaches) where they deliver measurable ROI
  • Architect and manage automated workflows using platforms such as Zapier, Make (Integromat), and Power Automate, integrating APIs, webhooks, and SaaS platforms
  • Connect disparate systems (Monday.com, BambooHR, Google Workspace, Microsoft 365, CRM/ERP tools) using no-code/low-code and custom API integrations to ensure seamless, real-time data flow
  • Develop Python-based automation scripts and microservices where platform-native tooling reaches its limits
  • Build and maintain Power BI dashboards and automated reporting pipelines that surface actionable intelligence for both technical and non-technical stakeholders
  • Instrument AI and automation workflows with monitoring, logging, and KPI tracking so business impact is continuously measured and visible
  • Define standards, reusable patterns, and best practices for AI and automation development across the organization
  • Ensure all solutions adhere to data governance, security, and compliance requirements
  • Maintain thorough documentation of architectures, automations, data models, and AI prompts/configurations
  • Serve as an internal AI/automation advocate, running enablement sessions, building internal toolkits, and upskilling non-technical teams to self-serve where appropriate
  • Partner with IT, data engineering, and business teams to deliver scalable, production-grade solutions aligned to organizational goals

Requirements

  • 5+ years of experience in automation engineering, AI/ML integration, systems integration, or a closely related discipline
  • Demonstrated track record of replacing manual business processes with AI or automation solutions with measurable outcomes
  • Strong hands-on experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or similar) including prompt engineering, chaining, tool/function calling, and agent design
  • Proficiency in Python/Javascript for scripting, API consumption, data manipulation, and lightweight service development
  • Experience building multi-step, production workflows in Zapier, Make, or Power Automate, including error handling, branching logic, and webhooks
  • Solid Power BI skills: DAX, Power Query (M), data modeling, and report distribution
  • Strong working knowledge of REST APIs and JSON
  • ability to read API documentation and integrate any SaaS platform
  • Experience with Microsoft 365 or Google Workspace ecosystems
  • Analytical mindset with the ability to translate ambiguous business problems into concrete technical solutions
  • English fluency and excellent communication skills

Nice to have

  • Experience with agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI) or building multi-agent systems
  • Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases (Pinecone, Weaviate, pgvector)
  • Exposure to cloud platforms (AWS, Azure, GCP) — particularly serverless functions, storage, and managed AI/ML services
  • SQL proficiency for data querying and transformation
  • Experience deploying or managing AI models in production (API-hosted or self-hosted)
  • Knowledge of data governance, PII handling, and AI ethics considerations
  • Experience with project/work management tools (Jira, Asana, Monday.com, Linear)
  • Spanish fluency

What we offer

  • Competitive salary and comprehensive benefits package
  • A genuine mandate to transform how the business operates — not just maintain the status quo
  • Direct exposure to cutting-edge AI tools, models, and automation platforms
  • Collaborative, innovation-driven IT environment with strong cross-functional visibility
  • Budget and support for professional development, certifications, and conferences (AI/ML, cloud, automation)
  • Flexible work arrangements
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