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Build and scale Airweave’s distributed data pipelines, vector databases, and LLM inference infrastructure to power thousands of AI agents reliably at scale.
Build secure, scalable data pipelines and APIs to power AI tools and RAG-based solutions for a leading European online brokerage.
Build secure, scalable data pipelines and APIs to power AI tools and RAG-based solutions for a fast-growing European online brokerage.
Build and scale the backend platform that powers AI-driven travel experiences, integrating ML models and vector search for real-time personalization at global scale.
Build and maintain the full-stack infrastructure that connects AI agents to user data, including search pipelines, sync engines, and developer-facing APIs using Python, TypeScript, and React.
Build and maintain in-house corporate web apps linked to Business Central and ERP/P2P systems using Node.js, React, Azure, and SQL; troubleshoot issues and optimize performance.
Build and maintain .NET backend services and AI/ML features for a real-estate platform, including gRPC APIs, vector search, and LLM-powered personalization integrated with SQL Server, MongoDB, and Elasticsearch.
Designs, automates, and operates a modern database platform (PostgreSQL/SQL Server), focusing on reliability, performance tuning, and self-service tooling for developers.
Lead a backend and data engineering team to build a zero-hallucination RAG platform, designing scalable data pipelines, APIs, and distributed workflows using Python, Apache Beam, FastAPI, and Temporal.
Lead the backend and data engineering for a zero-hallucination RAG AI platform, building scalable data pipelines and APIs that fuse vector search with deterministic graph topology.
Design and build enterprise-grade conversational AI systems using LLMs, RAG, and prompt engineering, ensuring security and compliance.
## CYS - Data & Application Engineer - IDGApplylocations: IT - Roma - Via Laurentina: IT - Genova - Fiumaratime type: Full timeposted on: Posted Todayjob requisition id: R0026430**Job Description:***Leonardo SpA è…
Designs and scales a GenAI-powered data pipeline to turn unstructured testing data into a queryable knowledge base using RAG and vector search.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and GCP services.
Senior QA Engineer designs and automates tests for AI/LLM systems on Azure, building Python frameworks and CI/CD pipelines to validate reliability, correctness, and safety of GenAI deployments.
Build and deploy GenAI solutions (RAG, agents, assistants) for enterprise clients, turning AI challenges into measurable results in weeks while balancing speed, cost, and governance.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Build AI-powered enterprise solutions for pharma using LLMs, RAG, and knowledge graphs to create intelligent decision-support tools and synthetic personas.
Build modern React/TypeScript frontends with Azure cloud integration, focusing on greenfield projects and real-time data. Work with AI/LLM APIs and ensure WCAG 2.1 AA accessibility.
Build and scale Snowflake-based data and AI systems, designing pipelines, models, and LLM/RAG applications that turn messy business data into trusted, production-ready solutions.
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