Senior AI Engineer

hace 3 semanas

Guadalajara, México Elios Talent A tiempo completo

Senior AI Engineer Full-Time | Remote Applied AI | LLMs | Agentic Systems | Scalable ML Infrastructure Company Information A high-growth technology organization building next-generation AI solutions that enable teams to work faster, smarter, and more efficiently. The company blends strong engineering fundamentals with a product-driven mindset, focusing on models, tools, and intelligent workflows that deliver measurable business impact. You'll join a collaborative environment where experimentation, rigorous engineering, and thoughtful design power the roadmap. The team moves quickly, values autonomy, and invests heavily in modern infrastructure to support advanced research, development, and deployment. Job Information The company is looking for a Senior AI Engineer who can architect, build, and optimize production-grade machine learning systems. Someone who understands the full lifecycle—from research and prototyping to scalable deployment—and is comfortable working with LLMs, multi-agent systems, vector search, and complex data pipelines. This is a hands-on role for an engineer who loves solving hard problems, designing elegant systems, and pushing the boundaries of applied AI. Key Responsibilities Build, fine-tune, and deploy large-scale machine learning and LLM-based systems Develop agentic workflows, tool integrations, and memory architectures Design high-performance pipelines for training, inference, and data processing Collaborate with product, engineering, and research teams to ship reliable AI features Evaluate new models, frameworks, and techniques to drive innovation Implement robust testing, monitoring, and observability across ML systems Optimize performance, latency, and cost across production workloads What You Bring Strong software engineering fundamentals (Python required; bonus for Go, Rust, or Typescript) Deep experience with LLMs, model fine-tuning, embeddings, RAG, or compute-aware optimization Experience building scalable ML or distributed systems in a cloud environment Familiarity with vector databases, orchestration frameworks, and inference optimization Ability to translate ambiguous technical problems into structured, well-designed solutions Curiosity, ownership, and a product mindset Bonus Points Experience with agentic architectures, RL, or memory-augmented models Experience building internal ML platforms or developer tools Contributions to open-source AI frameworks About Us A mission-driven team passionate about building AI systems that are reliable, scalable, and grounded in real-world value. The culture is hands-on, transparent, highly collaborative, and focused on creating technology that enhances—not replaces—human capability. Why Join Us You'll work with talented engineers and innovators, own meaningful problems end-to-end, and help shape the next generation of applied AI. Expect autonomy, a modern tech stack, fast decision-making, and the opportunity to ship work that has real impact across thousands of users.

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