AI Engineer (Full Remote

This role sits within a high-performance engineering environment focused on building and scaling AI systems powered by large language models and real-time data. You will work on designing and deploying AI-driven components that enhance internal workflows and user-facing experiences, spanning data retrieval, conversational interfaces, and intelligent decision systems. The work operates at the intersection of machine learning, distributed systems, and advertising technology, where performance, scale, and latency are critical. You will also contribute to improving underlying data infrastructure to support LLM-based applications and evolving AI workloads. This is a highly collaborative role involving engineers, analysts, and product teams, with strong emphasis on experimentation and rapid iteration. You will have significant autonomy to explore emerging AI frameworks while helping define the long-term technical direction of generative AI systems. Accountabilities: Design, build, and maintain LLM-powered AI components supporting internal tools and user-facing applications. Develop systems spanning data retrieval, embeddings, conversational interfaces, and intelligent automation workflows. Experiment with and evaluate new AI models, frameworks, and architectures in the rapidly evolving generative AI landscape. Improve and optimize underlying data infrastructure to support scalable and reliable LLM usage. Collaborate with cross-functional teams including engineers, analysts, and product stakeholders to identify and deliver AI use cases. Contribute to the technical vision and evolution of generative AI systems within a high-scale AdTech environment. Support production-grade systems operating at high throughput, low latency, and large-scale data volumes., Opportunity to work on large-scale AI systems processing billions of real-time events. Remote-first international work environment with high autonomy and flexibility. Exposure to cutting-edge generative AI technologies and fast-moving experimentation cycles. Collaborative, flat-structure engineering culture with direct access to technical leadership. High ownership of projects with real-world production impact at massive scale. Opportunity to influence the future direction of LLM-based systems in a high-growth AdTech environment. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role’s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.

Strong Python programming skills with experience in data manipulation libraries such as NumPy and Pandas. Solid understanding of SQL and relational data systems. Hands-on experience or strong familiarity with AI/ML systems such as LLM inference, embeddings, vector databases, or ranking models. Experience working with distributed systems or containerized environments (e.g., Kubernetes is a plus). Knowledge of machine learning concepts and data-driven problem-solving approaches. Strong analytical and critical thinking skills with the ability to troubleshoot complex systems independently. Proactive mindset with ownership, accountability, and a strong sense of initiative. Bonus: experience with Java, time-series analysis, or large-scale advertising or real-time systems.

Competitive compensation aligned with international remote engineering roles.