Senior AI Engineer - Agentic Systems

N-iX; Colombia; Híbrido; COP 373.680.000 - 560.521.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Flexible working format

Education reimbursement

Mentorship program

Tech talks and trainings

Centers of excellence

Corporate events

Descripción de la vacante

N-iX is seeking a Senior AI Engineer to design, build, and operate agentic AI systems within a robust AWS-based platform. You will collaborate with data scientists and engineers to translate business use cases into production-grade AI workflows and platform capabilities.

The role requires deep expertise in Python, knowledge graphs, and LLM-based patterns, with hands-on delivery and influence on technical direction. Flexible remote/office options are available for a 4–6 month engagement.

Formación

• 5+ years of software development experience.
• Hands-on experience building agentic AI systems.
• Deep AWS platform engineering experience.
• Strong Python skills.
• Experience with knowledge graphs (AWS Neptune or Neo4j) and AI integration patterns.

Responsabilidades

• Design, build, and maintain agentic AI systems within the AI platform.
• Work with AWS to design and operate platform infrastructure.
• Design and implement knowledge graph solutions 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 to ensure end-to-end agentic workflows.

Conocimientos

Agentic AI systems experience

Python programming

LLMs and prompt engineering

Knowledge graphs

AWS platform engineering

Herramientas

AWS Neptune

Neo4j

CDK (TypeScript/Node.js)

Docker

Kubernetes

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.

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

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