AI and Machine Learning Jobs

Build the platform for training, evaluating and deploying interpretable AI systems, spanning research tooling and production features. ...read more

Build and optimize GPU inference systems for reinforcement-learning research at frontier scale. Work on vLLM integrations, long-horizon rollout throughput, multi-node MoE inference, low-precision inference, and performance debugging. ...read more

Develop machine-learning algorithms for structured and unstructured data, including large-scale information retrieval, vector search, and semantic search. Translate algorithmic specifications into production code and improve system efficiency. ...read more

Develop generative AI products for production, including intelligent search, document processing and writing assistance, using prompting, RAG and agentic workflows. Government vacancy lists salary €4,132–€6,275 gross per month and an application deadline in early November 2026; posted October 17, so it does not meet a strict last-24-hours filter. ...read more

Build and deploy production LLM-enabled enterprise applications, backend services, orchestration pipelines and vector-search integrations. ...read more

Build and productionize ML and LLM-powered features, RAG pipelines, vector database retrieval, and MLOps monitoring. The posting is for contract or contract-to-hire engagements; posted Oct 16, 2026. ...read more

Build and deploy enterprise AI agents that plan tasks, call tools and APIs, and complete multi-step workflows. The role includes prompt design, retrieval-augmented generation pipelines and enterprise integrations. ...read more

Lead development and architecture of GenAI applications using Python, AWS and LLM orchestration frameworks. Build RAG pipelines, vector search, agentic workflows and production backend services. ...read more

Lead AI/ML and agentic AI project delivery using AWS or Azure GenAI, NLP and transformer models. The posting emphasizes enterprise AI platform builds, client delivery and managed AI services. ...read more

Design, build and deploy production-grade AI solutions directly with enterprise clients. Responsibilities include LLM applications, RAG systems, agentic workflows, cloud-native architecture and end-to-end solution delivery. ...read more