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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.
Designs and builds scalable Azure-based data pipelines and Applied AI solutions, turning raw data into business value for sectors like finance, energy, transport, and healthcare.
Lead a team to design and build scalable Azure data pipelines and productionize ML models, using Databricks, Spark, Kafka and Python/Java.
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.
Builds full-stack Python apps using RAG pipelines and vector databases to power AI-driven features for a client in Amsterdam.
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.
Build and maintain AI-powered features using Python, vector databases, and RAG systems in a fast-paced, innovative team.
Lead a team building AI-powered data and ML systems for eBay sellers, including pricing intelligence, demand recommendations, and seller analytics using Java/Kotlin, Python, Spark/Scala, and LLMs.
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.
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.
Build and maintain full-stack banking applications using Java Spring Boot, Python, TypeScript, and ReactJS to modernize enterprise systems and support digital transformation.
Build and deploy backend services for AI/ML models, integrating LLMs, vector databases, and RAG pipelines using Python, FastAPI, and cloud platforms.
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.
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.
Builds and improves backend systems for an AI workflow platform, including LLM integration, vector databases, and scalable architecture using Python, Node.js, and APIs.
Build and maintain LLM servers (Llama, Mistral, GPT API) and deploy AI agents that automate tasks like reminders, reports, and paperwork using vector databases and RAG pipelines.
Build and deploy LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
Build and deploy generative AI systems (chatbots, image generation) using Python, NLP models (BERT, GPT), and computer vision techniques for business solutions.
Build and improve natural-language applications using Python, ML algorithms, and neural networks; analyze data and customer needs to deliver AI-driven solutions.
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