Kubernetes Engineer

hace 2 semanas

Guadalajara Jal, México Elios Talent A tiempo completo

Senior AI Engineer
Full-Time | Remote
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.
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.
Design high-performance pipelines for training, inference, and data processing
Collaborate with product, engineering, and research teams to ship reliable AI features
Implement robust testing, monitoring, and observability across ML systems
Optimize performance, latency, and cost across production workloads
Strong software engineering fundamentals (Python required; bonus for Go, Rust, or Typescript)
Experience building scalable ML or distributed systems in a cloud environment
Familiarity with vector databases, orchestration frameworks, and inference optimization
You'll work with talented engineers and innovators, own meaningful problems end-to-end, and help shape the next generation of applied AI.

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