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Designs and deploys advanced Retrieval-Augmented Generation (RAG) models for clients, optimizing AI-driven applications with retrieval and generation techniques.
Oversees AI system stability, performance, and maintenance for public-sector clients, ensuring operational excellence by managing SLAs, model drift, and incident governance while bridging engineering and client governance.
Mid-to-senior Data Scientist covering the full ML/AI lifecycle—traditional ML, LLMs, RAG, and agentic AI workflows—deployed on AWS with MLOps practices, for a US insurance-focused company's Belfast hub.
AI Product Manager designs and delivers AI-powered financial consulting tools for private equity clients, translating complex finance problems into technical requirements using agentic AI, RAG pipelines, and sprint-based delivery.
Build and deploy AI agents that automate financial workflows like variance analysis and forecasting for CFOs, integrating with EPM/CPM systems using Python and LLM frameworks.
Build and scale enterprise-grade generative AI systems using Python, AWS, and frameworks like LangChain; design agentic workflows, RAG pipelines, and secure AI services for Fortune 500 clients.
Designs and builds enterprise-scale Agentic AI platforms for autonomous AI agent development, deployment, monitoring, and governance using Azure AI, LangChain, and Python.
Design, build, and maintain AI agents and RAG pipelines using LLMs (Claude, OpenAI, Bedrock), Python (Django/FastAPI), vector databases, and AWS for a remote data consultancy.
The Senior AI/ML Engineer will design and deploy enterprise-scale AI systems, including intelligent agents and copilots, using Python, LLMs, and RAG architectures. The role focuses on building scalable, production-grade AI services within a cloud-native environment.
Developer Relations Engineer at Ollama, owning strategy and execution to drive adoption of open models—building demos, technical blog posts, tutorials, and nurturing the developer ecosystem.
DevOps Engineer leading AI infrastructure in Madrid, focused on containerized deployments and LLMOps using Docker, Kubernetes, Ollama, LangChain, and CUDA Toolkit with Python and Java.
Build distributed backend systems and AI agent infrastructure for enterprise execution, integrating with ERPs, financial systems, and ensuring secure, traceable AI-driven workflows.
Senior Full Stack Engineer builds and maintains scalable React interfaces, NestJS APIs, and Postgres databases in a collaborative team, using modern tools like Docker, Kubernetes, and monorepo tooling.
Required Skills 8–11 years of software engineering experience Strong expertise in TypeScript and Node.js Strong programming experience in Python Hands-on experience with LLMs and Generative AI Experience with AI…
Develop open-source ML tools and a flagship product, packaging models into reusable software components and building libraries, pipelines, and APIs for ML researchers. Core tech: Python, TensorFlow, PyTorch, scikit-learn.
Join us in a high-growth, entrepreneurial environment where you can make a real impact as we disrupt the healthcare industry and shape the future of practice management. If you’re ready to challenge the ordinary, we…
Develop, fine-tune, and deploy LLMs and ML systems for a B2B SaaS org-chart platform, building RAG pipelines, MCP servers, and Python microservices integrated into the web and cloud stack.
Build and own AI agent infrastructure and automation systems that integrate LLMs with internal tools and data platforms to streamline marketing operations at scale.
Gulftainer seeks a capable full-stack developer to design, build, and maintain scalable web applications using React/Next.js, TypeScript, Node.js, and Python. You’ll contribute across API development, databases,…
Principal AI Engineer leading a distributed team in architecting and building AI-integrated software solutions, with a focus on agentic AI, prompt engineering, and system design using Python, LLM tools, and AI agent frameworks.
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