Factech is a multinational company specialized in delivering IT services to large organizations. With more than 2,500 professionals across Spain, Colombia, and Mexico, we work on high-impact technology projects alongside leading global clients.We are currently expanding our team and looking for an AI Engineer to join a cutting-edge initiative within Connected Insights, where you will design and deploy AI-driven solutions that directly impact business strategy and decision-making.Why this opportunity might be for youIf you're passionate about building real-world AI systems not just models, but production-ready solutions with measurable impact this role will challenge and grow you. You will work on advanced AI use cases, from LLM-powered applications to multi-agent systems, helping organizations turn data into strategic advantage.What you’ll gain- Permanent contract (long-term stability)- 100% remote position within Spain- Competitive salary- Private health insurance- Gym allowance / wellness support- Work on real AI products, not just experiments- Cutting-edge AI stack (LLMs, RAG, Agents)Your missionDesign and deliver scalable, reliable, and high-impact AI systems that transform data into actionable insights for business and strategy teams.You will bridge the gap between cutting-edge AI capabilities and real-world applications, ensuring solutions are not only innovative but also usable, ethical, and impactful.In your day-to-day, you will:- Build LLM-powered applications for business and strategy use cases.- Design and implement multi-agent systems and tool-based workflows.- Develop RAG pipelines and vector-based retrieval systems.- Collaborate with stakeholders to translate business needs into AI solutions.- Monitor, evaluate, and optimize models for accuracy, performance, and reliability.- Ensure AI solutions meet ethical, privacy, and compliance standards.What will make you successful in this role- Strong hands-on experience with LLMs and modern AI systems ( You’ll be able to design and implement solutions using embeddings, RAG pipelines, and vector databases)- Experience building or working with multi-agent systems (This will allow you to create scalable, intelligent workflows for complex tasks)- Solid Python and software engineering foundation (You’ll build reliable, production-ready systems using best practices)- Understanding of evaluation frameworks for AI systems ( You’ll ensure model quality in terms of accuracy, consistency, and bias)- Experience with distributed systems and APIs ( This will help you integrate AI solutions into real-world architectures)- Strong problem-solving mindset (You’ll tackle complex, ambiguous challenges and turn them into working solutions)- Ability to collaborate with cross-functional teams ( You’ll translate technical concepts into business impact)- Experience with agentic AI systems and autonomous workflows- Hands-on work with fine-tuning or customizing LLMs (GPT, Llama, etc.)- Knowledge of ML observability and monitoring- Experience with ML platforms (MLflow, Kubeflow)- Familiarity with serverless architectures and cloud cost optimization- Experience with Infrastructure as Code (Terraform, CloudFormation)- Contributions to open-source AI/ML projects.Ready to build the next generation of AI systems?If you're looking for a role where you can move beyond experimentation and build AI solutions that actually impact business decisions, this is your next step.Join a team where your ideas, technical expertise, and curiosity will shape real-world AI products.We re ready when you are.