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Data Engineer: RAG Pipelines & Embeddings (Parttime)
Build and maintain RAG pipelines: clean and transform unstructured data, generate embeddings, and optimize vector indexes for retrieval quality.
Data Engineer
Build and maintain data pipelines that clean, normalize, and embed unstructured documents for RAG systems using Python, Ollama, and Supabase pgvector.
AI Backend Software Engineer II - AI Application Platform
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.
Backend Engineer (Golang NodeJS) - 40M Net - Việc làm tiêu biểu
Builds and scales data pipelines, crawlers, and semantic search systems using Golang/Node.js, MongoDB, PostgreSQL, and vector databases to power AI-driven financial analytics and RAG workflows.
Backend Engineer (Golang NodeJS) - 40M Net - Cơ hội hấp dẫn
Build and scale data pipelines, crawlers, and semantic search systems using Golang/Node.js, PostgreSQL, and vector databases to power AI-driven financial analytics and RAG integrations.
Full-Stack Engineer (AI/ML & MERN Stack)
Build full-stack MERN apps with TypeScript, integrate RAG pipelines and LLM services, and deploy on AWS/GCP.
Ingegnere Full Stack
Full Stack Engineer building Python-based microservices with React frontends, deploying via Docker and CI/CD, and occasionally on-site at client locations in Italy.
Senior AI Platform & Data Engineer
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.
AI Engineer
Build and enhance an AI-powered interview platform by integrating LLMs, designing interview workflows, and developing scalable backend services for automated candidate evaluations.
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
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.
Junior Data Engineer (Data & AI Factory)
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Full-Stack AI Product Engineer
Build and ship AI-powered web apps and agents using LLMs, Python/Node.js, and cloud tools; integrate AI into marketing platforms and internal tools for measurable business impact.
Junior Data Engineer: Build Secure Data Pipelines
Build and secure data pipelines for a banking client, using Scala, Spark, and cloud platforms to process large-scale data into reliable, business-ready datasets.
AI/ML Scientist
Build and deploy RAG pipelines and large-scale AI systems for industrial use cases like predictive maintenance and smart factories using Python, PyTorch, and vector databases.
Sr. Software Engineer, GenAI
Build and deploy agentic AI systems for grant discovery, including RAG pipelines, ranking models, and production-grade data ingestion using Python and LLMs.
Associate Architect - Data Engineer
Design and build a modern data layer for Agentic AI, integrating Snowflake, Kinetica, and vector databases to power real-time LLM agent workflows and enterprise analytics.
Senior DevOps Engineer, AI Infrastructure
Build and deploy Generative AI systems for financial applications, including RAG pipelines, vector databases, and AI agents, using Python, AWS Bedrock, and LangGraph.
Python Developer - Sassuolo
Build and optimize AI-driven automation workflows using Python, n8n, and OpenAI models, integrating systems with PostgreSQL and APIs.
Python Developer - Sassuolo
Build and optimize AI-driven automation workflows using Python, JavaScript, and tools like n8n or Zapier to integrate AI models and APIs.
Python Developer - Sassuolo
Build and optimize AI-driven automation workflows using Python, JavaScript, and tools like n8n or Zapier, integrating models and APIs for enterprise clients.