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Design, fine-tune, and deploy LLMs to automate business processes in a manufacturing environment, collaborating with cross-functional teams to scale AI solutions into production.
Senior AI Engineer builds and runs AI systems that ingest, process, and enrich unstructured enterprise data to deliver context-rich features in production Python.
Design and build enterprise-grade conversational AI systems using LLMs, RAG, and prompt engineering, ensuring security and compliance.
Design and build LLM-powered multi-agent systems for digital banking using Google ADK and LangGraph, integrating RAG pipelines, tool calling, and robust orchestration for production deployment.
Build and maintain Lexroom’s proprietary legal database, ensuring data accuracy and collaborating with AI engineers to improve reasoning for trusted legal AI features.
Develop AI/ML models and MLOps pipelines for aerospace mission operations, using Python and ML frameworks to process and deploy data systems under strict constraints.
Design and deploy scalable ML solutions on Google Cloud, collaborating with architects and engineers to implement MLOps practices and production-grade AI systems.
Designs and refines AI prompts for advanced models, collaborating with dev and research teams using Python and deep-learning libraries.
Build and maintain AI/ML models and data pipelines for software products, collaborating with teams to translate client needs into robust solutions.
Builds backend services and AI models for healthcare revenue compliance in Europe, using cloud and distributed systems.
Build AI-powered digital products and coach client teams in Milan, collaborating with designers and strategists to deliver end-to-end software solutions.
Design and build scalable data pipelines and AI-powered solutions, transforming datasets into reliable products and actionable insights using cloud technologies and ML.
Lead a team building cloud-native data platforms and AI pipelines, owning product backlogs and driving scalable solutions for Generative AI, LLMs, and vector databases.
Build and maintain scalable data pipelines and productionize AI models in a collaborative team, ensuring robust testing and monitoring.
Designs and builds RAG/LLM components and evaluates response quality for an AI-focused product company.
Builds ML models and data-vis tools to analyze large datasets and guide business decisions using Python and data-science toolkits.
Build and deploy generative-AI modules using Python, Java/Spring Boot, LangChain, and AWS Bedrock for AI agents and data pipelines.
Build AI agents that process Earth Observation satellite data using Python to enhance an open-source AI platform for environmental monitoring.
Builds scalable cloud-native microservices in Java and integrates GenAI APIs to modernize enterprise systems.
Design and deploy AI-powered DevOps solutions, integrating generative AI and cloud infrastructure for innovative software systems.
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