Senior AI Engineer

Robots and Pencils
Colombia
Remote

Who this role is best for

Candidates with production AI/ML experience and a focus on generative AI will find this remote role in Colombia emphasizes ownership and technical leadership.

Best fit for

  • Engineers with 4+ years of AI/ML production experience and a track record of delivering agentic systems
    — “4+ years professional software engineering experience, with 2+ years focused on AI/ML systems in production and hands-on experience with generative AI development”
  • Individuals who prioritize technical clarity and are comfortable with fast delivery cycles
    — “We ship production-ready AI in 30 to 45 days.”
  • Candidates who value collaboration and can translate technical aspects into business-aligned decisions
    — “Partner closely with product, engineering, and data teams to align AI work with broader product and business goals”

Things to consider

  • This role assumes a high level of autonomy and ownership, with no mention of structured mentorship or guidance
    — “Take ownership of meaningful work end-to-end, including the unglamorous parts of getting AI into production”
  • The role requires active participation in code reviews and design discussions, not just individual contributions
    — “Participate actively in code reviews and design discussions, raising concerns and offering constructive feedback”

How to stand out

  • Highlight your end-to-end AI/ML deployment experience, especially with agentic systems
    — “design, build, and deliver production AI/ML systems”
  • Emphasize your hands-on use of AI-forward coding tools like Claude and Cursor in your work history
    — “Demonstrable, day-to-day usage and knowledge of AI-forward coding tools such as Claude Code and Cursor”
  • Showcase your ability to optimize AI costs, particularly with token economics and model routing
    — “Cost optimization expertise: token economics, caching strategies, model routing, quantization”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and implement ML/AI models end-to-end
  • Maintain and evolve AI systems in production
  • Contribute to AI architecture decisions
Typical background
Several years of experience in AI/MLStrong technical judgment

Skills & requirements

Required

AIMLData PipelinesTraining WorkflowsProduction SystemsAWS

Preferred

UXDeep LearningNLPComputer Vision

Stack & domain

AWSUXAIMLData PipelinesTraining WorkflowsProduction EnvironmentsReliabilityPerformanceScalabilityClaudeCursorLeadershipCollaborationCommunicationCraftOwnershipTechnical JudgmentConsumer ProductsRetailEducationEnergyFinancial ServicesHealthcareManufacturing

About the role

Original posting from Robots and Pencils via Greenhouse

Company Overview 

Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there. 

We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship. 

Position Overview 

We’re looking for a Senior AI Engineer to design, build, and deliver production AI/ML systems. This role is ideal for an engineer with several years of experience who can confidently own features end-to-end, contribute to architectural decisions, and bring strong technical judgment to the problems they take on. 

In this role, you will work as a key contributor on a cross-functional team, designing and implementing models, building the data pipelines and training workflows around them, and deploying systems to production environments. You’ll be joining real, in-flight work where reliability, performance, and scalability matter. You’ll collaborate with experienced engineers to enhance existing systems, deliver new capabilities, and contribute to the technical decisions that shape how our AI work scales over time. 

Why This Role Matters 

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate. 

Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on. 

What You’ll Do 

Craft & Delivery 

Design, implement, and deploy ML/AI models end-to-end, from concept through production, including data pipelines, training workflows, and optimization for performance, accuracy, and efficiency 

Maintain and evolve AI systems in production, monitoring for drift, debugging issues, and driving ongoing improvements to reliability and scalability 

Bring an AI-forward coding mindset to your daily work, using tools like Claude and Cursor to ship higher-quality work at pace 

Collaboration & Communication 

Partner closely with product, engineering, and data teams to align AI work with broader product and business goals 

Translate technical tradeoffs, model behavior, and constraints into terms non-specialists can act on 

Participate actively in code reviews and design discussions, raising concerns and offering constructive feedback 

Leadership & Influence 

Contribute to AI architecture decisions with thoughtful perspective on tradeoffs and long-term implications 

Take ownership of meaningful work end-to-end, including the unglamorous parts of getting AI into production 

Raise the bar on engineering practices through your own work and by supporting more junior engineers when opportunities arise 

What You’ll Bring 

4+ years professional software engineering experience, with 2+ years focused on AI/ML systems in production and hands-on experience with generative AI development 

Strong software engineering background (Python or similar) 

Working knowledge of cloud platforms, preferably with in-depth understanding of AWS services and AWS GenAI offerings 

Proven ability to design and ship agentic systems 

Experience with AI frameworks and orchestration tools 

Experience with evaluation frameworks, and observability tools for LLM apps 

Understanding of AI safety, responsible AI principles, prompt injection defenses, and PII handling 

Hands-on experience building RAG pipelines: chunking strategies, embedding models, vector databases 

API development experience, including designing and integrating with internal and third-party services 

Cost optimization expertise: token economics, caching strategies, model routing, quantization 

Working knowledge of Docker and Kubernetes for containerized deployments 

Demonstrable, day-to-day usage and knowledge of AI-forward coding tools such as Claude Code and Cursor 

Strong problem-solving skills and the ability to navigate ambiguous technical challenges with sound judgment 

You’ll Do Well Here if You Are 

A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty. 

A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway. 

Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke. 

Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind. 

Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing. 

All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously. 

Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you. 

Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work. 

Why Join Robots & Pencils? 

At Robots & Pencils, we build intelligent systems for real-world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production-ready digital and AI solutions that create measurable impact. 

As an AI Engineer, you will build production AI systems alongside experienced architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud-native delivery. You’ll collaborate closely with US-based clients, gaining hands-on exposure to complex problem-solving while contributing to meaningful, real-world outcomes. 

By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional growth. 

This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems within an elite global engineering ecosystem. 

Source: Robots and Pencils careers (Greenhouse)

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