Forward Deployed Engineer (PCS932)
Build and ship full-stack AI applications, agentic systems, and production infrastructure, owning work from React interfaces and backend services through RAG pipelines, evaluation, and client delivery.
Location: Remote β Latin America
Schedule: Full-Time, 8:00 AM β 5:00 PM PST
We are looking for a hands-on AI Engineer / AI Automation Developer who combines strong programming skills with experience in e-commerce and digital marketing.
The ideal candidate can develop AI-powered applications, intelligent agents, and automated workflows that improve marketplace performance, streamline marketing operations, and turn business data into actionable insights.
You will build and integrate technical solutions across platforms such as Amazon Seller Central, Shopify, Walmart Marketplace, eBay, and Newegg.
We are looking for a technical professional who can program AI solutions and apply them directly to e-commerce and digital marketing. The ideal candidate combines software development expertise, practical AI integration experience, and marketplace knowledge to build scalable solutions that deliver measurable business results.
Build and ship full-stack AI applications, agentic systems, and production infrastructure, owning work from React interfaces and backend services through RAG pipelines, evaluation, and client delivery.
Build and ship full-stack AI applications, agentic systems, and production infrastructure, owning work from React interfaces and backend services through RAG pipelines, evaluations, and client delivery.
Design and deploy production AI agents and LLM-powered applications, integrating them securely with Microsoft 365 and enterprise systems while building Azure infrastructure, backend services, and model evaluation workflows.
Build and own production AI features and agents for customers and internal teams, from specification through deployment, with responsibility for evaluation, infrastructure, model selection, and reliability.
Develop and optimize machine learning models for consumer audio, making AI efficient on resource-constrained devices while collaborating with software, embedded, and hardware engineers.