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AI Engineer

2 months ago
Colombia
Mid Level
AI Engineer
Software Development
AWS CI/CD Feature Engineering Generative AI Machine Learning Microservices MLOps Python
Apply Now
Robots & Pencils

Robots & Pencils

Robots & Pencils is a digital innovation firm that assists organizations in leveraging mobile, web, and AI technologies to modernize their operations and create efficient, user-centered solutions that enhance productivity and decision-making.

IT Services
51-250
Founded 2009
View All Jobs 14

Description

  • Implement machine learning models, inference services, and supporting APIs.
  • Contribute to the development of training, evaluation, and deployment workflows.
  • Build data ingestion and feature engineering components aligned to the established architecture.
  • Ensure the reliability, performance, and stability of AI services in production environments.
  • Contribute to the development and orchestration of AI pipelines and agentic workflows.
  • Support LLMOps processes for model deployment, versioning, and prompt management.
  • Implement monitoring and observability to track token usage, model drift, and hallucinations.
  • Debug and resolve issues across LLM layers, data ingestion, and cloud infrastructure.
  • Collaborate with senior engineers to operationalize research prototypes.
  • Work closely with product and engineering teams to deliver AI-driven features.

Requirements

  • 3–5 years of experience in AI/ML engineering or applied machine learning.
  • Experience building and deploying ML models in production environments.
  • Strong software engineering background in Python or a similar language.
  • Familiarity with distributed systems and scalable data processing.
  • Experience contributing to ML pipelines and automated deployment workflows.
  • Working knowledge of MLOps concepts, including model versioning, monitoring, and CI/CD.
  • Ability to debug issues across model, application, and infrastructure layers.
  • Strong problem-solving skills and attention to detail.
  • Effective communication skills within technical teams.
  • Exposure to generative AI or LLM-based systems (preferred).
  • Familiarity with retrieval-augmented generation (RAG) architectures (preferred).
  • Experience working with cloud-based AI platforms (preferred).
  • Exposure to infrastructure-as-code or DevOps practices (preferred).
  • Experience working in consulting or delivery-focused environments (preferred).
  • Hands-on AWS experience supporting cloud-native or AI/ML production systems (preferred).
  • AWS certifications at the Associate or Professional level, or equivalent practical AWS expertise (preferred).

Benefits

  • Opportunity to work on production AI systems for leading North American organizations.
  • Collaboration with experienced architects and senior engineers.
  • Direct exposure to US-based clients and complex real-world problem-solving.
  • Access to specialized training and advanced engineering resources through the Advanced AWS Partnership.
  • Participation in the AWS Patterns Partnership.
  • Early access to emerging cloud capabilities.
  • Accelerated professional growth in a cloud-native and AI-focused environment.

Interested in this position?

Apply directly on the company website

Apply Now

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