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Build and maintain the backend for an AI platform powering KI assistants, focusing on semantic search, LLM integration, and GDPR-compliant data handling for non-profits and public-sector clients.
Lead a team building AI-driven marketing analytics and automation tools, including conversational agents and platform features using Python, FastAPI, TypeScript, and LLM frameworks like LangGraph.
Lead Data & AI Engineer in Madrid building and leading a GCP data platform: designing and optimizing BigQuery models, developing Medallion-architecture ELT pipelines with Dataform and SQL, and maintaining Python/Cloud Run ingestion jobs with Cloud Workflows and CI/CD, while technically leading teams and external vendors.
Senior AI Engineer at Polluxa in Pretoria who designs, builds and operates scalable data pipelines for MLOps and Agent Fabric workloads, integrating diverse data sources and partnering with ML engineers to productionise models, with automation built via IaC using Terraform/Terragrunt.
Deploy and operate a shared enterprise AI Hub (Open WebUI) across 55+ portfolio companies, building production-grade AI integrations into ERP, accounting, and legacy systems using Python, Docker, and cloud infrastructure (Azure/AWS/GCP).
Designs and deploys robot learning systems for LG’s next-gen home robots, scaling embodied AI models from research to real-world products.
Senior AI Engineer (Manager) at global law firm A&O Shearman, based in the Belfast or London office, driving the strategy, design and implementation of advanced AI and ML use cases across the firm. The role involves senior technical leadership within the AI team and managing a team of IT professionals.
Lead the design and deployment of production-grade AI systems using large language models, agentic AI, and retrieval-augmented generation for scalable business applications.
We’re looking for a highly skilled Forward Deployed AI Engineer to join our Health, Wealth & Career (HWC) segment—where you’ll design and deliver cutting-edge AI solutions that solve complex, real-world business…
Build and govern 1GLOBAL’s internal AI platform using LLMs, RAG, and MCP servers, then expose AI capabilities to product teams for customer-facing features.
First Advantage (Nasdaq: FA), people are at the heart of everything we do. From our customers and partners to our greatest advantage — our team members. Operating with empathy and compassion, First Advantage fosters a…
Principal Applied Scientist at Oracle Cloud Infrastructure leads research and development of cutting-edge Generative AI models, LLMs, and Data Agents, deploying scalable AI solutions for enterprise use cases while mentoring junior scientists.
Build and orchestrate AI agents using Python frameworks (LangGraph, n8n) and AWS Bedrock, integrating RAG pipelines, vector search, and robust backend services for a GenAI marketplace.
Unsere Unternehmenszentrale in Burgwedel bei Hannover – hier arbeiten rund 3.000 Mitarbeitende mit vollem Einsatz daran, die Zukunft von ROSSMANN zu gestalten. Agentic AI eröffnet völlig neue Möglichkeiten, Prozesse zu…
Role: Graduate Technology & AI Engineer Location: Orwell, Cambridge Salary: £30,000 – £36,000 Permanent Position Are you a Computer Science, Software Engineering, AI or Technology graduate with a genuine passion…
We're looking for a Sr AI Engineer who has shipped AI products, not just prototyped them, with equal footing in core ML and modern GenAI. This role sits at the intersection of engineering rigor and product…
Role Overview We are seeking a skilled AI Engineer to design, develop, deploy, and optimize AI-powered solutions that drive business value. The ideal candidate will have expertise in Machine Learning, Generative AI,…
Job Title : Senior Applied AI Engineer Location : San Diego, CA Contract length : 3 months Schedule : Fulltime, 40 hrs/week Pay : $120/hr to $132/hr, DOE Job Overview: The Senior Applied AI Engineer designs, builds,…
AI Engineer at Bechtle AG developing the internal 'Agentic Framework' — an enterprise-grade orchestration platform that turns company data from ERP, CRM and cloud systems into AI-driven decisions. Day to day: building multi-agent architectures in Python (Plan-and-Execute, RAG, function calling), integrating graph tech like Neo4j, and running it all in production with Docker, Kubernetes and CI/CD.
Responsibilities ● Provide technical leadership in the architecture, development, and deployment of production-grade machine learning solutions forgeospatial applications. ● Architect scalable machine learning systems…
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