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Founding Software Engineer, Data Infrastructure
Build and scale Airweave’s distributed data pipelines, vector databases, and LLM inference infrastructure to power thousands of AI agents reliably at scale.
Senior Data Engineer, AI/ML Platform
Build and own scalable data pipelines and AI-driven web scraping systems for Roamler’s outlet-data products, integrating LLMs and agent frameworks on AWS/Azure.
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.
Hybrid AI Full-Stack Product Engineer — Growth & Equity
Builds full-stack AI products in Amsterdam using modern web frameworks, cloud platforms, and LLM APIs like embeddings and RAG systems.
Senior Full-Stack AI Engineer (LLMs & Agentic Systems)
Build production-grade AI systems using LLMs and agentic architectures, splitting time between internal automation tools and client-facing AI solutions in Python/Go/TypeScript.
Founding Software Engineer, Full Stack
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.
GenAI Python Developer (ID:3453)
Build and maintain AI-driven Python applications using LangChain/LangGraph, integrating LLMs via APIs, and designing agentic AI workflows with memory and planning.
Full Stack Developer (GWO)
Build full-stack web apps and AI-powered tools using React, Python, and LangChain/LangGraph, integrating RAG workflows and LLM APIs in a regulated bank’s analytics team.
Principal Software Engineer
Principal Software Engineer at Cvent builds and integrates AI-powered features (LLMs, RAG, agents) into hospitality tech, modernizes legacy systems, and mentors teams to improve performance and developer efficiency.
Senior Backend Engineer (.NET & AI/ML)
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.
Senior Backend Engineer, Content Foundations
Build and scale content ingestion, metadata, and AI pipelines for Scribd’s media platform, handling diverse formats and edge cases to power search, recommendations, and AI/ML systems.
Senior Backend Engineer
Senior Backend Engineer builds AI-powered grant discovery and application tools using LLMs, tool-using agents, and RAG pipelines in Python, shipping production-grade services with robust evaluation and observability.
Senior Full stack AI Developer (Python & Angular/React)
Build and deploy AI solutions for an insurance company using Python (FastAPI) and Angular/React, integrating models with existing systems and leading a technical team.
Senior Full stack AI Developer (Python & Angular/React)
Build and integrate AI solutions (Python, FastAPI, Angular/React) to improve insurance operations, collaborating with data science and IT teams while owning end-to-end delivery of features and models.
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.
DATA SCIENTIS (LLM and AI)_REMOTE_FREELANCE
Build and deploy LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
Full Stack Engineer
Build and deploy production-grade agentic AI systems using Python/Java and React, orchestrating multi-agent workflows and retrieval pipelines while ensuring reliability and observability.
Smals - AI Engineer
Build and integrate generative-AI features (LLMs, retrieval/grounding) into production systems, focusing on document processing, classification, and secure, reliable AI services.