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Own and extend live LLM pipelines (RAG, content generation) in TypeScript/Next.js, improving reliability, quality, and cost while integrating with business systems.
This senior fullstack role involves building and scaling web applications and production-grade LLM/RAG solutions using Node.js and Vue.js. The developer will own end-to-end architecture, including API design, RAG pipeline development, and AI workflow orchestration.
Builds and deploys AI-powered customer solutions at scale, bridging AI/data engineering, cloud architecture, and customer-facing consulting to prototype and harden production-grade systems for enterprise/education clients.
Salary: £80,000 - 115,000 per year Requirements: 7 years of experience in Data Engineering or Backend Engineering. Strong Python development experience. Experience building distributed data platforms and scalable…
Salary: £35,000 - 40,000 per year Requirements: JavaScript and Vue.js - comfortable building and maintaining component-based UIs Python - FastAPI or similar, writing Lambda endpoints PostgreSQL - confident writing…
The Lead Data Engineer will architect and scale data infrastructure for an AI-powered property management platform, managing real-time pipelines, vector databases, and ML workflows. As the first senior data hire, this role involves defining the technical stack, engineering standards, and data strategy while collaborating with AI and product teams.
This role is for a full-stack developer to build and maintain web applications while integrating AI and Generative AI capabilities. The developer will use AI-assisted coding tools daily to accelerate development and deliver enterprise-grade AI solutions.
Greenfield Senior Data Engineer building an analytical data platform on cloud infrastructure, designing ELT pipelines with dbt/Postgres, and creating AI data layers including embeddings, vector stores, and RAG plumbing for internal and customer-facing LLM agents.
Build and optimize OKX’s big-data platform for on-chain analytics, fraud detection, and AI-driven trading tools using Spark, Flink, Kafka, and vector databases.
Builds and optimizes Web3 big-data pipelines (on-chain transactions, smart-contract events) and integrates AI/LLM features like Text2SQL and anomaly detection to power analytics, risk models, and AI-driven data products.
Senior Data Engineer builds scalable data pipelines and infrastructure for an AI-powered property-management platform, including vector databases and real-time analytics to support ML workflows.
Develops AI-powered backend services in Java/Spring Boot, integrating LLMs and MLOps pipelines for Airbus’ space system data management tools.
Build and operate the AI engine behind root cause analysis for an enterprise platform — owning the vector database (pgvector), embedding pipelines, RAG retrieval layer, Claude-based prompt engineering, confidence scoring, and evaluation frameworks using Python, FastAPI, and Pydantic.
Key Responsibilities Full Stack Application Development Design, develop, test, and deploy end-to-end web applications spanning frontend, backend services, APIs, and data layers Translate functional and non-functional…
#VemPraLuby💙 Aqui você terá a oportunidade de: Evoluir em um ambiente de alta performance: Uma cultura onde o desenvolvimento é contínuo, com autonomia e envolvimento em projetos nacionais e internacionais que…
Build and maintain secure Java/Spring Boot backend services and APIs, and integrate agentic AI workflows (LLM agents, RAG, tool-use) for UK government digital services.
About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the…
Lead a team of software and AI engineers at ServiceNow to design, build, and deploy AI-native applications using LLMs, agents, and RAG systems, with full ownership across coding, testing, and production monitoring in a cloud environment.
Build full-stack components for AI pilots, including backend services, API integrations, and frontend implementations, contributing to JD Power's Power Agents library and working with Snowflake and AI frameworks like LangGraph.
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
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