Senior Ai Engineer

Elios Talent; A distancia; MXN 1,432,000 - 2,149,000; Jornada completa

Descripción de la vacante

A high-growth technology organization in Xico is seeking a Senior AI Engineer to architect, build, and optimize production-grade machine learning systems. You will work in a collaborative environment focused on advancing AI and will take ownership of developing robust AI solutions. The ideal candidate should have solid experience with LLMs, strong software engineering abilities, and a passion for solving complex problems. This position offers autonomy and the opportunity to work with advanced technologies while shaping impactful solutions.

Formación

• Strong software engineering fundamentals, especially in Python.
• Deep experience with LLMs and scalable ML systems.
• Ability to design and optimize complex data pipelines.

Responsabilidades

• Build, fine-tune, and deploy large-scale machine learning systems.
• Collaborate with teams to ship reliable AI features.
• Optimize performance and cost across production workloads.

Conocimientos

Python

LLMs

Model fine-tuning

Distributed systems

Curiosity and ownership

Descripción del empleo

?? Senior AI Engineer ???? Full-Time | Remote?? Applied AI | LLMs | Agentic Systems | Scalable ML InfrastructureCompany InformationA 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.