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Senior AI Engineer designing, building, and operating ML/AI systems for real-time space domain awareness, using Python, ML frameworks, SQL, and Databricks/Spark on large-scale sensor and orbital datasets.
Build and scale an enterprise-grade GenAI platform, owning backend/frontend components and integrating LLMs/vector databases to deliver scalable, reliable AI APIs for customers.
Principal AI engineer embedded directly with customers, building AI capabilities using Python, LLMs, agentic workflows, and data integration against live operational problems.
The AI Agent Engineer will build and deploy production-grade LLM agents to automate editorial and commercial workflows within a global media company. The role involves developing the underlying agent platform, integrating with existing systems, and ensuring agent output quality through evaluation and guardrails.
Software engineer on Google's Maps/Geo team implementing GenAI solutions using LLMs and ML infrastructure, with work on spatial data structures and computational geometry algorithms.
The Technical Program Manager will lead the delivery of GenAI agents by managing backlogs, coordinating cross-functional teams, and overseeing the full lifecycle from design to production. The role requires extensive experience in Agile methodologies and AI program governance to ensure successful delivery of enterprise-scale AI solutions.
The AI Engineer will build and deploy LLM-powered agents and workflows, focusing on healthcare system integrations and rigorous evaluation processes. The role requires extensive experience in production-grade LLM applications using Python and TypeScript.
Junior AI Engineer designing scalable ML solutions on Google Cloud, collaborating with data architects, scientists, and engineers to ship ML to production using MLOps tools and architecture guidelines.
Build enterprise AI solutions using LLMs, prompt engineering, and cloud platforms to automate workflows and drive digital transformation.
Designing prompts for advanced AI models and developing Data & AI solutions using Python, TensorFlow, and PyTorch at a professional services firm in Milan.
Analyze large data volumes, develop Machine Learning models, and build visualization tools to support business decisions using Python and Data Science toolkits.
Data engineer designing and building scalable data pipelines and AI-powered solutions in Milano, collaborating with data scientists to productionize ML models with robust testing and monitoring.
Develop and implement Generative AI modules using GenWizard, AWS Bedrock, and pipeline/integration tools, with Python, Java (Spring Boot), and LangChain as core technologies.
Develops Python-based GenAI solutions, focusing on embeddings, prompt engineering, and microservices for clients, with optional hybrid on-site work in Italy.
Principal AI Engineer (Forward Deployed) At-a-Glance - Principal-level individual contributor role embedded directly with customers - Building AI capability against live operational problems, at pace - Python, large…
Build and operate agentic AI workflows, agents, and automation for IT service management in an enterprise setting, using agentic AI studios, APIs, webhooks, and integration platforms.
Required Experience 10 -14 years of experience in Cyber Security Risk Compliance or Security Consulting Experience leading security and compliance activities for cloud transformation programmes Strong understanding of…
Designs and implements the text-to-speech layer for AI agents, optimizing voice quality and latency while integrating multiple TTS engines and exposing voice attributes to the product UI.
Overview Would you like to work on a product that transforms Microsoft AI technologies and a modern-work suite to help millions of users work better and faster together? Do you enjoy working with teams that leverage AI…
Build, integrate, test, and deploy LLM-powered applications including AI assistants, chatbots, enterprise search, and intelligent automation solutions using Python, Generative AI, LLMs, and RAG in a hybrid role.
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