Robots and Pencils

AIEngineer

$70000–110000k ~AI est. Bogotá, Bogotá, Colombia
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“AI Engineer at Robots and Pencils. Skills: AI Engineering, Machine Learning, MLOps, Cloud infrastructure. Implement machine learning models. Implement inference services”

What You'll Achieve.

Deliver measurable business value; Deliver independently on features; Maintain high standards for reliability; Maintain high standards for performance; Maintain high standards for maintainability

Industry & Context.

Problems you'll solve

Problem-solving; Debugging; Troubleshooting

What They're Looking For.

Must Have

3–5 years of experience in AI/ML engineering, Experience building and deploying ML models in production, Software engineering background (Python or similar), Familiarity with distributed systems, Familiarity with scalable data processing, Experience contributing to ML pipelines, Experience with automated deployment workflows, Working knowledge of MLOps concepts, Ability to debug issues across model, application, and infrastructure layers

Nice to Have

Exposure to generative AI, Exposure to LLM-based systems, Familiarity with RAG architectures, Experience with cloud-based AI platforms, Exposure to infrastructure-as-code, Exposure to DevOps practices, Experience in consulting, Experience in delivery-focused environments, Hands-on AWS experience, AWS certifications, Equivalent practical AWS expertise

What You'll Do.

Implement machine learning models

Implement inference services

Implement supporting APIs

Develop training workflows

Develop evaluation workflows

Develop deployment workflows

Build data ingestion components

Build feature engineering components

Ensure reliability of AI services

Ensure performance of AI services

Ensure stability of AI services

Develop agentic workflows

Support LLMOps processes

Implement observability

Debug issues across LLM layers

Debug issues across data ingestion

Debug issues across cloud infrastructure

Operationalize research prototypes

Implement evaluation metrics

Implement validation processes

Support rollout of AI features

Support iteration of AI features

Implement AI-driven features

Participate in sprint planning

Participate in estimation

Participate in technical discussions

Contribute to documentation

Contribute to shared engineering standards

How You'll Work.

Team & Collaboration

Senior engineers; Product managers; Cross-functional teams; Product teams; Engineering teams

Communication Scope

Communicate progress; Communicate blockers; Communicate risks

Process & Methodology

Sprint planning, Estimation

Full Job Description

Robots & Pencils is seeking an AI Engineer to design, build, and deploy production-grade AI systems that deliver measurable business value. This is a hands-on engineering role focused on implementation and delivery. You will contribute to scalable AI systems and ML pipelines, working within established architectural direction while collaborating closely with senior engineers, product managers, and cross-functional teams. You will be expected to deliver independently on well-defined features, contribute to system design discussions, and maintain high standards for reliability, performance, and maintainability. Key Responsibilities AI System Implementation 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 defined architecture Ensure reliability, performance, and stability of AI services in production environments AI Pipelines & Infrastructure Contribute to the development and orchestration of AI pipelines and agentic workflows. Support LLMOps processes for automated model deployment, versioning, and prompt management. Implement monitoring and observability to track token usage, model drift, and hallucinations. Debug and resolve complex issues across LLM layers, data ingestion, and cloud infrastructure. Research-to-Production Support Collaborate with senior engineers to operationalize research prototypes Implement evaluation metrics and validation processes Support rollout and iteration of AI features based on performance data Collaboration & Delivery Work closely with product and engineering teams to implement AI-driven features Participate in sprint planning, estimation, and technical discussions Contribute to documentation and shared engineering standards Communicate progress, blockers, and risks clearly Required Skills & Qualifications 3–5 years of experience in AI/ML engineering or applied machi

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