ArcTouch
201 - 500 employees
Founded 2009
🤝 B2B
💼 Consulting
B2B • Consulting
ArcTouch is a company that helps businesses design and develop lovable apps, websites, and connected experiences to foster meaningful connections with customers. They offer a variety of services, including agile development, custom software development for platforms such as iOS and Android, and expertise in areas like UX/UI design and IoT. ArcTouch operates as an AKQA studio and has a global presence with staff in North America, South America, and Europe.
AI/Machine Learning Engineer – Contractor
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ArcTouch
201 - 500 employees
Founded 2009
🤝 B2B
💼 Consulting
B2B • Consulting
ArcTouch is a company that helps businesses design and develop lovable apps, websites, and connected experiences to foster meaningful connections with customers. They offer a variety of services, including agile development, custom software development for platforms such as iOS and Android, and expertise in areas like UX/UI design and IoT. ArcTouch operates as an AKQA studio and has a global presence with staff in North America, South America, and Europe.
📋 Description
• Lead the architecture of a next-generation LLM enrichment pipeline within an enterprise Knowledge Graph • Design taxonomy for LLM classification with the Data Architect and Director of AI • Design and iterate prompts for entity classification and metadata generation across products, recipes, and ingredients • Build an evaluation harness to measure enrichment accuracy, coverage, and drift • Implement the enrichment pipeline in Azure OpenAI with a human review step before writing to the graph • Support entity resolution matching recipe ingredients to Salsify products and disambiguating variants • Define escalation paths for dietary and health claim outputs requiring regulatory or Director of AI sign-off • Tune model selection and quality thresholds against the review policy • Document taxonomy decisions, prompt versions, and evaluation results
🎯 Requirements
• Solid experience in ML/AI engineering with hands-on LLM classification or enrichment pipeline experience • Strong Python skills • Prompt engineering and structured output generation, including JSON schemas and function calling • Hands-on experience with Azure OpenAI or an equivalent LLM API • Experience building evaluation and benchmarking frameworks for model outputs • Experience building human-in-the-loop review workflows • Familiarity with taxonomy or ontology-driven data models • Working knowledge of vector search and embeddings for semantic matching • CPG, retail, or food industry experience is nice to have • Familiarity with schema.org, JSON-LD, and GEO is nice to have • Experience with Microsoft Fabric/Fabric IQ is nice to have • Microsoft Azure AI Engineer Associate certification or equivalent is nice to have • Must live in Brazil
🏖️ Benefits
• Remote-friendly work arrangement • Optional access to the office in Florianópolis • Equal Opportunity Employer
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