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Senior Data & AI engineer in Coface's Data Office (10-person team) building Python applications to automate data governance and quality, plus GenAI solutions — LLM agents, Text-to-SQL, RAG and MCP integrations deployed to production. Hybrid role in Bois-Colombes (Paris area).
About BJAK The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name. Started in 2019, we built the first mobile-first, insurance…
CareCone Group is hiring a Senior Data & AI Engineer in Sydney to build production data and AI platforms and integrate AI agents with enterprise systems. The role blends hands-on engineering with technical leadership: mentoring, uplifting AI capabilities, and owning CI/CD, monitoring, and governance on cloud platforms.
Builds and scales production-grade ML systems for banking security using MLOps practices, Docker/Kubernetes, Kafka, and cloud platforms.
Lead the Applied AI organization within Roblox Build, owning the full applied AI stack—model strategy/routing, fine-tuning, code generation, 3D layout generation, and evaluation infrastructure—to turn foundation models into reliable creation systems at scale.
AI Solutions Engineer role focused on delivering GenAI and agentic AI applications within a Forward Deployed Engineering model. You will partner with business units to identify opportunities and build solutions using Python, cloud platforms (AWS/Azure/GCP), and frameworks like LangChain or Amazon Bedrock, bridging the gap between technical development and business value.
Senior AI Engineer in Cairo who architects a scalable internal AI framework combining predictive AI (forecasting, anomaly detection) and agentic multi-agent systems, then adapts it for enterprise client delivery. Core stack: Python, LangGraph/CrewAI/AutoGen, Scikit-learn/XGBoost, PyTorch/TensorFlow, vector databases, and AWS/Azure/GCP with Docker/Kubernetes.
As an AI Research Engineer Intern at FuriosaAI, you will conduct research on advanced AI models, focusing on areas like LLMs and RL, and contribute to the development of a proprietary AI compute platform. You will work with PyTorch and other deep learning tools to build high-performance AI solutions.
Build and scale an internal automation platform for finance workflows using AI agents, orchestration tools, and production-grade software practices.
AI Research Engineer developing proprietary LLMs for agentic tasks, RL post-training pipelines, and frontier AI research at a Korean AI chip company, primarily using PyTorch and deep learning frameworks.
A senior, hands-on AI role at an Australian courier company: identify bottlenecks across operations and back-office functions, then design, build, and deliver bespoke AI agents and automations (using LLMs like Claude and tools like n8n) integrated with internal systems, partnering with developers and driving adoption nationwide.
Focuses on applied AI by building and testing small language models on resource-constrained hardware like Raspberry Pi. The role involves Python-based prototyping, model quantization, and performance evaluation to determine the practicality of AI product ideas.
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An experienced software engineer (4+ years) joins an IT consultancy in Amersfoort to build AI/LLM-powered applications — RAG pipelines, agentic workflows, and microservices — for clients in fintech, energy, healthcare, retail and the public sector. Strong Java or Python skills are a must; deep AI expertise is not, as the employer supports learning on the job.
WKL Consultancy is hiring a Python/data/AI engineer in Amersfoort (hybrid) to design and build AI-driven applications and RAG pipelines for clients in sectors such as FinTech, Energy, and Healthcare. The role requires 4+ years of experience with strong Java/Python skills and an HBO/WO degree.
Lead DevOps engineer at the Dutch Ministry of Defence's Cyber Security Centre (DCSC), designing, building, deploying and monitoring DevOps infrastructure and security tooling/applications, running experiments, and advising on technical improvements. The role calls for LLM experience, deep cybersecurity knowledge, and works with Agile practices at Camp New Amsterdam, with some home working possible
Remote-first (US-based) Applied AI Research Scientist applying deep learning and foundation models to fraud detection and financial risk, working with large-scale behavioral and sequential datasets. The role spans research and production ML: pretraining, fine-tuning, evaluation, and real-time model serving, built around Python, SQL, and GPU-backed training infrastructure.
Plexus Tech busca perfil técnico con al menos 10 años de experiencia en Python, AWS y IA generativa para diseñar, desplegar y operar soluciones end-to-end en entornos cloud. Se valorará experiencia en arquitecturas…
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead AI Engineer based in India. This is a hands-on technical leadership role focused on…
Alice is hiring a GenAI Safety Team Lead to run a multidisciplinary team doing red teaming, adversarial testing, and risk evaluations of Generative AI systems. Day to day: designing red teaming methodologies, reviewing and approving deliverables, mentoring researchers, and presenting results to clients.
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