PAt PropHero we are seeking a versatile AI Engineer to join our team and help us advance both classic Machine Learning models and cutting-edge generative AI systems. In this role, you’ll work across the full AI lifecycle: training, testing, and deploying models for regression, classification, and agent-based applications. You will design and optimize backend systems using AWS, integrate AI models with databases and APIs, and collaborate closely with data science, frontend and DevOps teams to deliver scalable, reliable, and secure solutions. /ppbr/ppbResponsibilities: /b /ppbr/pullibPlatform Engineering /b: Design and maintain backend systems (AWS, Python) to support both classic ML and GenAI workloads (LangChain, LangGraph). /lilibModel Development Testing /b: Collaborate with Data Scientists to train, fine-tune, and evaluate ML models (regression, classification, GenAI). Build pipelines for testing, fairness, and reliable inference at scale. /lilibDeployment Integration /b: Deliver models as production-ready services; integrate with APIs, MCPs, vector databases, and external tools (e.g., HubSpot). /lilibCollaboration /b: Partner with frontend engineers for smooth API integrations and with DevOps to ensure scalable, secure deployments. /lilibObservability Reliability /b: Implement monitoring, logging, and evaluation tools to ensure accuracy, efficiency, and reliability of AI systems. /li /ulpbr/ppbRequirements: /b /ppbr/pulliStrong backend/software engineering skills in Python. /liliHands-on experience with ML frameworks (e.g., scikit-learn, XGBoost) and GenAI libraries (LangChain, LangGraph, HuggingFace). /liliKnowledge of regression, classification, and modern NLP/GenAI approaches. /liliFamiliarity with vector databases (e.g., Pinecone, Weaviate, FAISS). /liliSolid expertise in API design, system architecture, and backend development. /liliExperience working with AWS services and DevOps practices. /liliFocus on testing, evaluation, and reliable deployment of ML models. /liliFluent English, as all our teams are distributed globally and we use English for all internal communications. /li /ulpbr/ppbWhy PropHero: /b /ppbr/pullibImpact Ownership: /b Your work will directly shape the data foundation that drives our business decisions and customer experience. /lilibCutting-Edge Stack: /bBuild on a modern, cloud-native AWS data platform. /lilibGrowth Opportunities: /bBe part of a fast-scaling team with opportunities to lead data architecture and mentor others. /lilibHealthy Business: /b €30M revenue in 4 years, 25% QoQ growth, already profitable. /li /ulpbr/ppbDiversity Statement /b /ppbr/ppAt Prophero, we are committed to fostering an inclusive and equitable workplace where diverse perspectives and backgrounds are not only welcomed but celebrated. We believe that diversity drives innovation and empowers us to build stronger connections with our clients and communities. /ppProphero is an equal opportunity employer and is dedicated to ensuring a hiring process free from discrimination based on race, ethnicity, gender, age, disability, religion, sexual orientation, or any other characteristic protected by law. Our mission is to create a workplace where everyone feels valued, supported, and empowered to achieve their full potential. /p