Senior AI Engineer - Agentic Systems

N-iX; Argentina; Híbrido; ARS 156.234.000 - 225.671.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Flexible working format

Descripción de la vacante

N-iX is seeking a Senior AI Engineer to design and scale an internal AI platform that delivers agentic AI capabilities. You will operate deeply across AWS infrastructure and AI components while guiding architecture and best practices.

This is a hands-on role with influence on technical direction and collaboration across data scientists and engineers. Applicants should have 5+ years in software development, robust Python skills, and strong experience with knowledge graphs, LLMs, and AI

Formación

• 5+ years of experience in software development.
• Hands-on experience building agentic AI systems, not just using existing tools.
• Strong AWS platform engineering depth, not incidental usage.
• Strong Python knowledge.
• Deep experience building knowledge graphs (AWS Neptune or Neo4j).
• Experience with LLMs, prompt engineering, and AI integration patterns.
• Excellent troubleshooting and team collaboration; English level is upper-intermediate.

Responsabilidades

• Design, build, and maintain agentic AI systems as part of the AI platform.
• Work in depth with AWS to build and operate the underlying platform infrastructure.
• Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. AWS Neptune or Neo4j).
• Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases.
• Troubleshoot and resolve issues across integrated systems to ensure end-to-end agentic workflows.

Conocimientos

Python

AWS

Knowledge graphs

LLMs

Agentic AI

Troubleshooting

English communication

Herramientas

Docker

Kubernetes

CDK (TypeScript/Node.js)

Descripción del empleo

About the client

Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools.

About the client

Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools. This is a hands-on engineering role for someone who has real depth in both AI system design and AWS platform engineering, and who can move fluidly between the two to build production-grade, agentic solutions. While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Duration is 4-6 months with the possibility of prolongation.

Time zone: EU or Canadian time zone.

We are ready to consider candidates for part-time cooperation.

Responsibilities

• Design, build, and maintain agentic AI systems as part of the AI platform
• Work in depth with AWS to build and operate the underlying platform infrastructure
• Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. using AWS Neptune or Neo4j)
• Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases
• Troubleshoot and resolve issues across integrated systems to ensure reliable, end-to-end agentic workflows.

Requirements

• 5+ years of experience in Software Development
• Real, hands-on experience building agentic AI systems - genuine understanding of how they work, beyond just using existing tools or frameworks off the shelf.
• Strong, in-depth AWS experience - real platform engineering depth, not incidental or side use of AWS.
• Strong Python knowledge
• Deep experience building knowledge graphs, ideally with AWS Neptune or Neo4j - especially valuable for this role.
• Experience with LLMs, prompt engineering and AI integration patterns.
• Strong troubleshooting skills and a collaborative, team-first mindset.
• English level - upper-intermediate (both verbal and written)

Nice to Have

• Familiarity with MCP (Model Context Protocol).
• Proficiency in infrastructure as code (e.g. CDK in TypeScript/Node.js) to manage AWS services such as Amazon Bedrock and Agent Core.
• Docker/Kubernetes familiarity.

We offer*

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits
• not applicable for freelancers