Senior AI Engineer – Agentic Systems (Remote)

N-iX; México; Híbrido; MXN 1.600.000 - 2.600.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working format

Competitive compensation package

Professional development tools

Active tech communities

Descripción de la vacante

N-iX is seeking a Senior AI Engineer to design and deliver agentic AI systems as part of a European client’s AI platform. This hands-on role combines AI system design with AWS platform engineering to produce production‑grade agentic solutions.

You will influence technical direction, raise engineering standards, and enable data scientists and engineers to succeed across a 4–6 month engagement with potential prolongation.

Formación

• 5+ years of software development experience.
• Hands-on experience building agentic AI systems, not just tool integration.
• Deep AWS platform engineering experience.
• Strong Python knowledge.
• Experience with knowledge graphs (AWS Neptune or Neo4j).
• Experience with LLMs, prompts, and AI integration patterns.
• Strong troubleshooting and collaborative mindset.
• Upper-intermediate English (spoken and written).

Responsabilidades

• Design, build, and maintain agentic AI systems as part of the AI platform.
• Work with AWS to build and operate the underlying platform infrastructure.
• Design and implement knowledge graphs to support AI reasoning and retrieval.
• Collaborate with cross-functional teams to align the AI platform with business goals.
• Troubleshoot and resolve issues across integrated systems for reliable workflows.

Conocimientos

AWS

Python

Agentic AI systems

Knowledge graphs

LLMs & prompts

Troubleshooting

English (oral/written)

Herramientas

AWS Neptune

Neo4j

CDK (TypeScript/Node.js)

Descripción del empleo

N-iX is seeking a Senior AI Engineer to design and deliver agentic AI systems as part of a European client’s AI platform. This hands-on role combines AI system design with AWS platform engineering to produce production‑grade agentic solutions.

You will influence technical direction, raise engineering standards, and enable data scientists and engineers to succeed across a 4–6 month engagement with potential prolongation.