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Job listings
AI Platform Engineer
Build and deploy AI-powered applications using LLMs, RAG, and agents on cloud platforms like Azure, AWS, or GCP.
Senior DevOps/Cloud Platform Engineer (AWS| Kubernetes|AI Infrastructure)
Build and maintain secure, scalable AWS and Kubernetes platforms for AI workloads, including LLM inference, while automating CI/CD and ensuring SOC 2/HITRUST compliance.
Experienced Data Engineer - Innovation and Consumers, Aarhus or Gdansk
Build and maintain data pipelines and AI-driven analytics on Arla’s Azure Databricks lakehouse using PySpark, SQL, and Terraform to deliver business insights and scalable data products.
AI Engineer
Build autonomous AI agents that plan, collaborate, and act using frameworks like LangChain and DSPy, integrating LLMs with tools and APIs for real-world execution.
AI Engineer
Build and validate AI-driven features for a no-code data-integration SaaS, using LLMs, vector DBs, and agentic frameworks to prototype and ship new capabilities.
Senior Generative AI Scientist (Remote)
Build and deploy generative AI models to detect healthcare payment integrity issues, reduce costs, and improve outcomes using LLMs, vector DBs, and cloud ML platforms.
Software Engineer, OSS
Build cloud-native Operational Support Systems (OSS) for telecom networks, integrating AI-driven automation and agentic workflows to modernize service provisioning, activation, and operational intelligence.
Software Development Engineer (AI Agentic)
Build and deploy AI agents for enterprise workflows, integrating with APIs and databases while optimizing reliability and response quality.
AI Application Architect
Designs and builds AI-driven observability and automation systems for DevOps and SRE, integrating LLMs, agents, and cloud-native tools to improve incident response and system stability.
Automation AI Engineer
Design and build AI-powered automation solutions using Python/C# and Azure services to integrate systems, process data, and create LLM-driven agents that streamline business workflows.
Software Development Engineer
A junior Python engineer builds AI-powered document processing tools (PDFs) in a Dublin-based team, focusing on LLM-driven workflows, embeddings, and semantic search while learning from senior developers.
Senior AI Engineer
Builds AI-powered developer tools and security integrations to automate workflows, enhance productivity, and embed secure coding practices using LLMs, RAG, and AI agents.
AI Data Architect
Design and lead enterprise AI data architectures, including RAG pipelines, vector indexing, and knowledge graphs, to enable AI agents while enforcing strict data governance and security.
AI Data Engineer
Builds secure, AI-ready data pipelines and retrieval systems for enterprise GenAI agents, focusing on ingestion, normalization, vector search, and governance across tools like SharePoint, Git, and monitoring systems.
Data Engineer
Build real-time data pipelines and vector databases to power AI agents, transforming logs and docs into embeddings for RAG systems.
Data Engineer, Forward Deployed Engineer
Build and deploy scalable data pipelines and AI infrastructure for enterprise clients, focusing on ETL/ELT, vector databases, and real-time streaming to power AI-driven solutions.
Machine Learning Engineer
Build and deploy ML systems that power healthcare workflows: speech-to-text, LLM note-taking, and chat-based clinical assistants in a cloud-native stack.
Distinguished Technical Architect, Data & AI
Senior technical leader shaping enterprise AI and data strategy for Salesforce’s Agentforce and Data360, advising C-suite on architecture, publishing thought leadership, and building reusable assets for EMEA’s largest customers.
Cloud and AI Platform Architect
Architect and own LSports’ GCP-based cloud platform and its agentic AI layer, designing scalable, secure systems for real-time sports data and LLM-powered automation.