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Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Build and maintain Nexxen’s internal AI platform, designing reusable AI capabilities, multi-agent systems, and production-grade AI services using Python, Kubernetes, and modern cloud-native tools.
Lead end-to-end GenAI and Agentic AI projects from problem definition to production, designing scalable architectures, building production-grade LLM applications with Python, and mentoring engineers while engaging directly with enterprise stakeholders.
Designs and deploys AI agents (LLM/GPT-like models) to automate customer service workflows in a fintech contact center, focusing on dialog systems, recommendation engines, and NLP-based interfaces.
Build and scale production AI systems for English Language Learning, developing agentic content generation workflows and LLM-powered services (Conversation Brain, Ambient ORA) that serve multiple Pearson products. Work with Python (FastAPI, CrewAI, LangGraph, LangChain), Azure, and observability tools to operationalize AI from research into production.
AI Engineer Work base: Onsite in Kewdale, Perth - Candidate must be based in Perth Employment type: Full-time, maximum-term 12-month contract. About Sadleirs Backed by over a century of experience, Sadleirs delivers…
Principal AI Engineer designs and delivers AI solutions for government agencies, solving complex policy and operational challenges with measurable outcomes.
The Senior AI Engineer works within the Data Unit of the Department of the Premier and Cabinet WA to support government initiatives through artificial intelligence technologies.
Builds modern web and enterprise apps while creatively applying AI to enhance analysis, development, and feature implementation in a collaborative team.
The AI Engineer will integrate AI/ML models and LLM-based applications into production systems while collaborating with data scientists to operationalize pipelines. The role involves building end-to-end Gen AI solutions and maintaining automated CI/CD pipelines.
Develop cloud-native, serverless solutions on AWS (Lambda, API Gateway, DynamoDB) using TypeScript/Node.js and AWS CDK, while actively applying AI development tools and coaching teammates on AI-assisted workflows.
Salary: 55.000 - 85.000 € per year Requirements: Absolventen der Informatik, Wirtschaftsinformatik, Data Science oder eines verwandten Studiengangs Erfahrung mit: - RAG-Pipelines in Produktion — Vector DB, Retrieval,…
Salary: 80.000 - 100.000 € per year Requirements: Must-have: 3+ years Typescript Proven production-level experience with LLM integration In-depth understanding of retrieval-augmented generation & context…
Designs and implements hardware/software solutions for automotive, rail, and smart industry clients, guiding projects from concept to deployment while collaborating with cross-functional teams.
Airis Labs transforms user generated content into actionable field intelligence for government agencies worldwide. Our platform empowers frontline analysts with multi modal AI tools that extract clarity from chaos…
Команда развивает AI-трансформацию блока «Финансы». Наши решения работают с задачами ценообразования на портфельном и индивидуальном уровне, единых трансфертных ставок банка, бизнес-планирования и других финансовых…
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference/orchestration layers, data pipelines, and APIs/microservices—for GenAI, CV, and ML models in heavy industries, primarily using TypeScript/Node.js.
Build and deploy AI/ML models to improve supply-chain quality control and operations, working with data scientists and engineers to turn prototypes into production systems.
The Senior Applied AI Scientist will develop and deploy AI solutions, including foundation models and classical machine learning, to create new generative AI use cases for the bank. The role involves end-to-end development from proof of concept to production within a growing team.
Forward Deployed AI Architect embeds with clients to learn their workflows (e.g., insurance underwriting, healthcare revenue cycle) hands-on, then redesigns and builds production GenAI systems (LLM applications, agentic workflows) on AWS. Focuses on measurable business outcomes, evaluation-driven development, and long-term blueprint improvements.
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