Job Opportunities API

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     Required Skills & Qualifications   5+ years of experience in AI/ML engineering or applied machine learning   Proven experience designing and deploying production AI systems   Strong software engineering background (Python or similar)   Experience with distributed systems and scalable data architectures   Deep understanding of MLOps, model lifecycle management, and AI infrastructure   Experience building and maintaining ML pipelines and automated deployment workflows   Strong problem-solving skills and architectural judgment   Demonstrated leadership and mentoring experie