Applied AI Engineer

Join Homeward as an Applied AI Engineer, where you'll have an immediate impact on how we build with AI. In this role, you'll design, build, and maintain AI-powered features in our products, improve shared tooling, and take on challenging AI-solved problems. You'll work closely with internal partners and external customers, and help shape the patterns and practices for building with AI at Homeward.

• Concevoir, construire et maintenir des fonctionnalités alimentées par l'IA dans nos produits, y compris les intégrations d'API LLM, les pipelines de génération augmentée par la récupération (RAG) et l'automatisation pilotée par l'IA.
• Construire et améliorer des outils partagés et des composants réutilisables qui facilitent l'accès, l'intégration et l'exploitation des LLM en production pour les équipes techniques.
• Prendre en charge des problèmes difficiles et ambigus qui peuvent être résolus en utilisant des LLM et de l'apprentissage automatique pour résoudre des problèmes commerciaux réels.
• The ideal candidate is a self-starter who takes pride in ownership of their work, can diagnose issues and develop solutions quickly, and communicates clearly with multiple stakeholders
• Strong experience with Python and a back-end framework such as Django, Flask, or FastAPI
• Scrappy and flexible - from updating an email template to building a complex web app, you do what the team needs and you're eager to learn along the way
• Production experience with LLM APIs, including prompt design and context management
• Incredibly strong ownership of delivering the right solutions at a high quality
• General curiosity and comfort navigating a fast-changing AI landscape
• A build, test, learn mindset with a bias toward action and a focus on business outcomes
• Good judgment on the trade-offs between reliability, latency, cost, quality, and maintainability, and the willingness to make the call
• Strong written and verbal communication skills, and the ability to make complex things clear to others
• Solid grounding in web development best practices - REST APIs, asynchronous task management, and sound data management
• Working knowledge of version control and CI/CD tools
• Hands-on experience building or operating AI/ML systems in production, and a real interest in the practical side of it - reliability, performance, cost, and safety
• 4-6 years of professional back-end development experience, ideally in a fast-moving environment