AI Engineer (LLMs & Agents) Job in Portugal – Apply Now

📍 Location: eu

🏷 Type: Not specified

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Job Overview

This AI Engineer role at a high-impact engineering center focuses on building production-grade AI systems across mobility, aerospace, and advanced technology domains. Targeting Mid-Level (3+ years) professionals, the role demands hands-on expertise in LLMs, data architecture, and intelligent systems design. You will collaborate directly with leadership to create novel AI-driven solutions—not maintain legacy systems. Ideal candidates are technically strong, systems-oriented thinkers who thrive in ambiguity and can deliver end-to-end AI pipelines with real-world impact.

🌍 Work Eligibility & Location

This is a fully onsite role based in Portugal, requiring physical presence for collaboration with multidisciplinary teams. While visa sponsorship is unclear, candidates should assume preference for EU or locally authorized professionals. Strong Portuguese communication skills are essential, limiting accessibility for international applicants without language proficiency.

💰 Salary Intelligence

Although no official salary is published, the estimated range reflects Portugal’s competitive AI engineering market for mid-level talent. Compensation is moderate compared to global AI hubs but balanced by strong project exposure and innovation scope. The opportunity to work on cutting-edge AI systems may outweigh purely financial considerations for candidates prioritizing growth.

📊 Role Breakdown

This role is heavily weighted toward building next-generation AI systems rather than maintaining existing infrastructure. Approximately 35% of your time will focus on designing and managing data architecture, including ingestion pipelines, storage, versioning, and access control. Another 30% involves developing LLM-based systems using technologies like RAG, embeddings, and knowledge graphs to enable reasoning capabilities.

Around 20% of your workload will involve agent architecture and orchestration, designing systems with multi-step reasoning, memory, and tool integration. The remaining 15% is dedicated to evaluation, testing, and failure design, ensuring robustness through guardrails, fallback mechanisms, and edge-case validation.

Key actions include building pipelines, structuring messy data, optimizing model performance, and rapid prototyping. The environment emphasizes speed, requiring delivery of PoCs in days, not months, making execution capability as important as architectural thinking.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This role is highly demanding due to its expectation of real-world AI system deployment experience. Candidates must demonstrate production-level expertise rather than theoretical knowledge. The 3+ years requirement combined with deep LLM experience significantly narrows the talent pool. However, geographic and language constraints reduce global competition slightly, making it accessible for qualified EU-based professionals.

🚀 Career Impact

This role offers significant career acceleration through exposure to cutting-edge AI architectures and real-world deployments. You will develop expertise in LLM orchestration, agent systems, and data sovereignty, positioning yourself for senior roles such as AI Architect or Technical Lead. The experience gained here is highly transferable across industries working on intelligent autonomous systems.

📋 Key Responsibilities

You will design and maintain data architectures ensuring secure ingestion, storage, and access control. A core responsibility is to build AI pipelines that transform raw data into structured inputs for models using RAG, embeddings, and knowledge graphs.

You will also develop intelligent systems leveraging LLMs, including agent-based architectures with memory and reasoning capabilities. Expect to orchestrate multiple models balancing cost, latency, and performance.

Additionally, you will implement guardrails to mitigate hallucinations, test edge cases, and design evaluation frameworks to measure reasoning quality. Rapid iteration is critical—you will prototype and deploy solutions quickly, moving from concept to production in short cycles.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

Hiring urgency appears moderate, as the role is tied to active AI initiatives already in development. The emphasis on real-world deployment suggests immediate project needs. Competition is selective rather than high-volume, due to language requirements and technical depth. Candidates with LLM production experience will stand out significantly and likely move quickly through the pipeline.

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✅ Job Source & Verification

This job listing originates from the company’s official hiring channels, ensuring high source credibility. The role details align with current industry demands for AI engineers specializing in LLM systems and data infrastructure. Last updated: Recently verified based on active hiring signals and open positions within the organization.