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The Data Engineer will design and maintain OCR-based ingestion and ETL pipelines to support an AI-driven candidate matching platform. The role involves working with vector embeddings, LLMs, and AWS cloud infrastructure to process and analyze CV and job description data.
Design and implement AI-native application cores—LLMs, vector databases, RAG systems, and multi-agent orchestration—for web and mobile products, using Python, FastAPI, Docker, Kubernetes, and various vector DBs.
Мы строим новое AI-направление и создаем команду, которая станет центром компетенций по искусственному интеллекту и будет развивать AI-функциональность сразу в нескольких продуктах компании. Сейчас мы формируем команду…
The Senior Data Scientist will build and maintain AI-driven retrieval systems and knowledge layers to support rare disease research at the NIH. The role involves end-to-end development of data pipelines, semantic search, and user interfaces using Python, PostgreSQL, and LLM-based architectures.
Own and maintain ETL/ELT data pipelines, databases, and workflow orchestration for a credit risk research initiative at NUS's Asian Institute of Digital Finance, with opportunities to contribute to AI/LLM research.
Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
Semi-senior Data Engineer in Taligent's Center of Excellence designing, building, and maintaining ETL/ELT pipelines on cloud (AWS/Azure/GCP) with Python and SQL, integrating heterogeneous sources and modeling data for analytics and AI use cases.
Build and maintain CI/CD pipelines and Kubernetes-based AI platforms for deploying LLMs in a regulated banking environment. Core tech: Docker, Kubernetes/OpenShift, Jenkins, Terraform, vLLM/Triton.
The Senior AI Data Engineer will build and maintain AI-focused data infrastructure, specifically working with knowledge graphs, vector databases, and RAG architectures. The role involves developing LLM-integrated data pipelines to support advanced data processing.
Builds AI-native full-stack platforms integrating LLM, RAG pipelines, and enterprise-grade APIs; owns backend (Python/Node.js), frontend (React), and cloud infrastructure while scaling data-driven AI solutions for retail/operations clients.
Lead Data Engineer at an early-stage London AI startup, owning data architecture from the ground up—building real-time pipelines, analytics infrastructure, and vector/ML data workflows using Python, Spark, Airflow, Kafka, and vector databases.
Backend developer building scalable Java/Spring Boot services and APIs for UK government digital projects, with a focus on integrating agentic AI (LLM agents, RAG) into the engineering platform.
The Senior Database Architect will lead the modernization of legacy SQL Server stored procedures while designing AI-native data infrastructure, including vector databases and semantic models. The role involves leveraging AI tools to automate database refactoring and building scalable data platforms to support AI agents and workflows.
Senior engineer who splits time between embedding with grocery customers to deploy AI systems and building reusable platform tooling for LLMs, agents, and data pipelines.
Full stack developer on a 12-month contract using AI-assisted coding tools to build and integrate LLM/GenAI capabilities (RAG, chatbots, agents) into enterprise web applications with modern JS/TS frontends and Node.js/Python/Go backends on cloud/container platforms.
The AI DevOps Engineer will design and manage CI/CD pipelines to deploy and operationalize Large Language Models (LLMs) and AI agents within a secure banking environment. The role involves using Kubernetes, Docker, Terraform, and various model-serving platforms to ensure scalable and reliable AI delivery.
Build and maintain cloud-native back-end services for maritime IT networks while integrating AI/LLM features like RAG pipelines and agentic workflows using Python and distributed systems.
Sobre a vaga A posição de Desenvolvedor(a) Backend Python & AI Engineering tem como objetivo atuar em projetos estratégicos de inovação e transformação tecnológica, contribuindo diretamente para o desenvolvimento e…
This Data Engineer role involves building and maintaining batch and streaming pipelines to ingest and standardize banking data for AI platforms. The position focuses on data quality, lineage, and security using the Microsoft Azure stack, Apache tools, and vector-store management.
Design and maintain AI-ready data pipelines for production-scale AI, ML, and RAG systems, implementing vector store strategies (pgvector, Pinecone, OpenSearch) and data governance at NCS Group in Singapore.
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