Senior AI Systems Engineer – Production Machine Learning and LLM Workflows

Unleash the future of AI — engineer transformative agentic systems that redefine innovation and operational excellence! Lisbon-based opportunity with hybrid work model. As a Senior AI Systems Engineer, you will be working for our client, a leader in AI-driven enterprise solutions within the banking and regulated environments. You will design and deploy scalable, production-ready AI systems, from architecture to operations, enabling impactful use cases that drive digital transformation and business value. This role offers the chance to shape cutting-edge AI workflows and grow your expertise at the forefront of technology. Your main responsibilities: Design and deploy robust AI systems in production, including RAG pipelines, multi-step agents, and LLM workflows, ensuring real-world performance and stability. Contribute to end-to-end solution architecture, selecting models, building APIs, and orchestrating components with a focus on scalability and maintainability. Implement MLOps / LLMOps / AgentOps practices such as CI/CD, prompt versioning, model registry, and continuous deployment. Develop and maintain monitoring and observability frameworks for AI systems, ensuring drift detection, latency management, and output quality control. Integrate AI Security by Design principles—manage guardrails, protect against prompt injections, and ensure traceability and auditability. Collaborate with data scientists and cross-functional teams to industrialize model deployments and optimize system performance. Write comprehensive documentation and share best practices to foster team excellence and knowledge transfer. You're ideal for this role if you have: 5+ years of experience in software engineering or AI, with at least 2 years deploying LLM/AI systems in production environments. Proven track record of delivering fully operational AI systems, not just POCs or demos. Strong proficiency in Python, including frameworks like LangChain, Transformers, and FastAPI. Deep understanding of