We are looking for a forward-thinking

AI & Automation Engineer

to lead the transformation of how our business operates, replacing legacy manual processes with intelligent, AI-driven workflows that scale. This is not a support role; it is a

strategic engineering position

with direct impact on operational efficiency, decision-making speed, and competitive advantage.

You will own the full lifecycle of automation and AI initiatives: identifying opportunities across business units, designing robust architectures, building and deploying solutions, and measuring their impact. You'll work at the intersection of AI engineering, systems integration, and process transformation, bridging the gap between raw technology and real business value.

Key Responsibilities

AI-First Process Transformation

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.

Workflow Automation & Systems Integration

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.

Data & Insights

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.

Architecture & Governance

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.

Collaboration & Enablement

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.

Required Qualifications

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

Soft Skills

Systems thinker

— you see processes end-to-end and instinctively spot where AI or automation creates leverage.

Strong communicator

— able to translate AI capabilities into business language and build confidence among non-technical stakeholders.

Proactive and ownership-oriented

— you identify problems before they're assigned and drive solutions to completion.

Curious and continuously learning

— you stay current on the fast-moving AI landscape and bring new ideas to the table.

Collaborative team player who can also work independently with minimal direction.

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).

Adaptable work arrangements.

📌 Tech Automation Engineer (Málaga)
🏢 The Parser
📍 Málaga