Hybrid AI & Automation Engineer

at Parser

• Job title: AI & Automation Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, ERP, JavaScript, Microservices, Python
• Location requirements: Hybrid, Spain

About the role

• AI & Automation Engineer leading transformation of manual processes with AI-driven workflows. Responsible for full lifecycle of automation initiatives across various business functions.

Responsibilities

• 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 from IT, with 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.

Benefits

• Competitive salary and comprehensive benefits package.
• Budget and support for professional development, certifications, and conferences (AI/ML, cloud, automation).
• Flexible work arrangements.