AI Engineer

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 machine learning Experience building and deploying ML models in production environments Strong software engineering background (Python or similar) Familiarity with distributed systems and scalable data processing Experience contributing to ML pipelines and automated deployment workflows Working knowledge of MLOps concepts (model versioning, monitoring, 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 Nice to Have Exposure to generative AI or LLM-based systems Familiarity with retrieval-augmented generation (RAG) architectures Experience working with cloud-based AI platforms Exposure to infrastructure-as-code or DevOps practices Experience working in consulting or delivery-focused environments Hands-on AWS experience supporting cloud-native or AI/ML production systems. AWS certifications (Associate or Professional level) or equivalent practical AWS expertise. Personal Competencies Execution-Focused – Delivers high-quality implementations within established architecture Engineering Discipline – Writes reliable, maintainable, and well-tested code Collaborative – Works effectively within cross-functional teams Problem-Solving Mindset – Investigates issues methodically across layers Ownership – Takes responsibility for assigned work from implementation through release Growth-Oriented – Seeks feedback and continuously improves technical craft 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 founda…