Teams at Robots & Pencils

Lead the architecture and delivery of production AI and GenAI systems, including agentic workflows, RAG pipelines, evaluation, observability, reliability patterns, and AWS cloud services. Build backend and serverless applications in Python and Node.js, support frontend integrations, mentor engineers, and own features through deployment and troubleshooting. The role requires weekly onsite client delivery in the United States and Canadian work authorization with eligibility for U.S. TN status.

Build and deploy large-scale LLM-based recommender systems from raw customer and catalog data through production inference. Responsibilities include feature and context engineering, distributed training on SageMaker HyperPod, LoRA/QLoRA fine-tuning, reinforcement learning, deep learning architecture, ranking, inference optimization, evaluation, privacy protection, and stakeholder communication with Expedia and AWS science teams.

Lead the design and implementation of a production-grade evaluation framework for planner-executor AI agents. Build simulation, experiment execution, grading, statistical analysis, tracing, optimization-lever plugins, and a locally hosted dashboard. Partner directly with enterprise clients to run staged campaigns, quantify cost-quality tradeoffs, project dollar impact, assess generalization, and deliver evidence-based recommendations. Provide technical leadership, establish evaluation standards, mentor engineers, and communicate findings to technical and business stakeholders.