Job Summary: The CEiiA is seeking an AI Engineer to join its AI Engineering division, developing and building intelligent and autonomous systems, working with robust and trustworthy data. Key Highlights: 1. Build things that don’t yet exist — agents, pipelines, systems that anticipate 2. Work directly with the Head and Lead of AI Engineering 3. Rapid prototyping (days) and taking PoCs to product **Company Description** We are an Engineering and Product Development Center that conceives, develops, and produces new technologies, products, and services for a more sustainable society. We bridge cities, industry, and universities around major programs for product and service development and industrialization, based in Portugal, in high-tech sectors such as mobility, aeronautics, and space. The AI Engineering area represents the new intelligence layer of the CEiiA ecosystem. It reports directly to the board and aims to grant autonomy to the systems built by CEiiA. This AI Engineer (m/f/d) position will be part of the AI Engineering area. **Job Description** You will work directly with the Head of AI Engineering and the Lead AI Engineer. The projects are real and already underway. You will not maintain legacy code. You will build things that don’t yet exist — reasoning agents, decision-making pipelines, anticipatory systems. And you will ensure the data underpinning these systems is robust, sovereign, and trustworthy. **Responsibilities:** * Design and maintain the AI Engineering data architecture — how data arrives, how it is stored, how it is versioned, who has access; * Ensure sovereignty: critical data does not leave the perimeter; * Curate and structure messy data from multiple sources; * Build ingestion, transformation, and quality pipelines — clean data before reaching the model; * Structure data for reasoning: knowledge graphs, embeddings, RAG, context injection; * Architect, design, and build intelligent systems atop LLMs for specific domains; * Design how machines think: cognitive architectures, knowledge representation, prompt architecture, tool ecosystems, context and memory; * Orchestrate models — frontier, open\-source, fine\-tuned — with reasoned trade\-offs across cost, latency, quality, and privacy; * Rapid prototyping (days, not months) and taking PoCs to product; * Failure design — brains hallucinate, lose context, become confused. Design guardrails, fallbacks, graceful degradation; * Eval mindset — how do you know the brain improved? Design evals, red\-teaming, test edge cases, measure reasoning quality — not just accuracy. **Qualifications** * Degree in Computer Engineering, Systems Engineering, Mathematics, Physics, or equivalent technical field; * 3+ years of experience, including at least 2 years with AI/ML systems in production (products used by real users); * Data architecture for AI — building a sovereign data layer: ingestion, storage, quality, versioning, access. Not a nice\-to\-have — it’s the starting point; * Solid proficiency in at least one backend language (Python, Go, Rust or equivalent), agents, integration, and complex pipelines; * Real-world production experience with LLMs: tool\-calling, structured outputs, context management, cost and latency optimization; * Agent architecture: multi\-step reasoning systems, memory, tool ecosystems, fallback; * Model orchestration — when to use frontier vs. open\-source vs. fine\-tuned, with clear trade\-offs; * AI infrastructure: GPUs, model serving (vLLM, TGI or equivalent), inference pipelines, cloud vs. on\-prem compute; * Integration of data from multiple sources; * Genuine curiosity; * Systems and critical thinking; * Comfort with ambiguity; * Clear communication with non\-technical stakeholders; * Portuguese (mandatory) \+ technical English. *We also value:* * LLMOps — model versioning, monitoring, deployment, eval pipelines; * GCP, Docker; * Background in complex domains: defense, space, energy, critical infrastructure. **Additional Information** * Relaxed work environment, dynamic and multidisciplinary teams. * We facilitate and promote a balanced and healthy lifestyle, harmonizing work with personal life. * Health insurance. * Partnerships with gyms, Nutrium, and others. * Up to three additional vacation days. * Birthday off.