Robots and Pencils
via Greenhouse
AI Engineer / AI Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 12d ago
The date the source published, not the day we noticed it (2026-09-02). Last seen at its source just now.
Is it remote?
Bogota, Colombia (Remote Friendly)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Colombia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $3,250–6,375/mo
Middle 50% of 11 listings that do state pay — Engineering · all levels · Colombia · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 11d ago · last seen just now
The listing
APPLICATIONS FROM OUTSIDE COLOMBIA WILL NOT BE CONSIDERED FOR THIS ROLE
Robots & Pencils is seeking an AI Engineer / AI Architect to design, build, and scale production-grade AI systems that deliver measurable business value.
This is a hands-on technical leadership role. You will define system architectures, lead implementation of scalable AI platforms, and guide teams through the full lifecycle of AI development, from experimentation and model iteration to secure, observable production deployment.
As a Level 4 leader, you are expected to own complex AI systems end-to-end, influence technical direction, mentor engineers, and make principled architectural tradeoffs under real-world constraints.
Key Responsibilities
AI Architecture & Technical Strategy
- Define AI system architecture aligned to business objectives and long-term scalability
- Translate ambiguous AI opportunities into structured technical approaches
- Design modular, extensible AI platforms supporting experimentation and production workloads
- Establish architecture decision records (ADRs) and technical documentation standards
AI System Design & Implementation
- Lead design and implementation of ML systems, model services, and inference pipelines
- Build scalable training, evaluation, and deployment workflows
- Architect data ingestion, feature engineering, and model serving strategies
- Ensure reliability, observability, and performance optimization of AI systems
AI Platform & Infrastructure
- Design and implement end-to-end AI pipelines and agentic orchestration frameworks.
- Establish LLMOps best practices including CI/CD, prompt versioning, and real-time model observability.
- Optimize distributed inference systems and retrieval-augmented generation (RAG) performance.
- Ensure AI infrastructure aligns with security, compliance, and GPU/token cost-efficiency standards.
Research-to-Production Acceleration
- Bridge research and engineering by operationalizing prototypes into production-ready systems
- Define evaluation metrics, validation processes, and rollout strategies
- Improve iteration velocity through tooling and automation
Technical Leadership & Mentorship
- Mentor junior and mid-level AI engineers
- Lead code reviews and enforce engineering standards
- Guide teams in making informed tradeoffs across performance, scalability, cost, and complexity
- Contribute to shared AI best practices and internal accelerators
Cross-Functional Collaboration
- Partner with product, engineering, and executive stakeholders to shape AI roadmaps
- Communicate technical strategy and system tradeoffs clearly to non-technical audiences
- Align AI initiatives with business value and measurable outcomes
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