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Build and scale an internal AI coding agent platform using LLMs, RAG, and agentic workflows to improve developer productivity and reliability across Lendable’s fintech products.
Lead a data-science team to define Handelsbanken’s AI and analytics roadmap, build ML models with Python/SQL, and deploy them via MLOps while meeting banking regulations.
Lead the architecture and hands-on development of a next-gen agentic AI platform for banking workflows, integrating LLMs and multi-agent systems to automate processes and boost productivity.
Designs and scales enterprise AI systems, including GenAI assistants and agentic workflows, while defining governance and integration patterns across AXA’s insurance and financial services platforms.
Build and deploy LLM-powered AI agents for a cloud platform that turns renewable energy operational data into actionable insights for global monitoring and optimization.
Builds and deploys AI-powered solutions using modern ML and generative AI patterns on cloud platforms, collaborating with engineers and business teams.
Build and operate production-grade AI agents and services for digital advertising, using LLMs, agentic workflows, and AWS deployments.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Build and deploy AI/ML systems for clients, working with LLMs, generative AI, and MLOps using Python, FastAPI, PyTorch, and cloud platforms.
Senior role building LLM features and retrieval-augmented generation systems to enhance property management solutions using Python, TypeScript, and vector search.
Builds and deploys generative AI solutions (RAG, prompt engineering, AI guardrails) using LangChain, LangGraph, and PyTorch in Python, while ensuring GDPR and EU AI Act compliance.
Build and deploy AI applications (e.g., conversational assistants, RAG systems) and data pipelines on cloud platforms, while ensuring compliance with government security standards.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Own the AI-powered natural-language layer for a SaaS platform: define the product strategy, architecture, and evaluation systems that let users ask questions, retrieve knowledge, and safely execute actions across CRM, automation, and workflows.
As a Marketing Associate, you will help bring our marketing plans to life across campaigns, content, in-person and digital events, digital channels and day-to-day execution. You will work closely with the wider…
Build and deploy production-grade GenAI applications for enterprise clients, integrating LLMs, RAG, and agentic workflows with Python and modern AI frameworks.
Principal Data Engineer builds and governs GCP-based data pipelines and ML-ready datasets for AI/GenAI systems, partnering with ML teams to enable training, inference, and monitoring at scale.
Introduction TC Flights Germany is known for operating one of the most successful flight search portals in Germany—fluege.de. We are part of Tongcheng Travel, an internationally active company in online travel…
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