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Full-stack AI Engineer building GenAI-enabled applications using Python, FastAPI, and React with LLM/RAG pipelines for an industrial manufacturer.
The Data Engineer Senior Manager leads the design and delivery of enterprise-scale data and AI solutions, including lakehouse architectures and generative AI applications. This role involves mentoring technical teams, driving digital transformation, and managing client relationships within a global advisory practice.
The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
The Agentic AI Engineer designs and builds cognitive architectures for AI agents that interact with enterprise ERP systems, focusing on multi-agent coordination, autonomous decision-making, and tool-use strategies. The role requires expertise in Python, Java, and agent frameworks like Pydantic AI to create robust, governable AI systems.
The Senior Software Engineer will design and build large-scale distributed platforms for observability, automation, and AI-driven reliability. The role involves developing platform services and telemetry systems to support infrastructure operations across storage, compute, and networking domains.
The Senior AI Engineer will design and deploy production-grade autonomous agents and multi-agent systems for financial institutions using Python, LLMs, and AWS. The role focuses on building reusable agent architectures, integrating enterprise tools, and implementing MLOps practices for long-running AI workflows.
Staff-level, hands-on engineering leadership role at BP designing and delivering end-to-end data and AI solutions—including data pipelines, lakehouse architectures, and LLM/RAG-based applications—using Python, SQL, and distributed data platforms.
Senior AI Engineer at PwC Greece's Process Excellence & Intelligence team in Athens, building and deploying agentic AI systems, RAG pipelines, and ML models to optimize client operations using Python, PyTorch/TensorFlow, and Azure/AWS/GCP.
Design and deliver production-grade ML and Generative AI systems—including LLMs, RAG, and Agentic AI workflows—using Python, agentic frameworks, and major cloud platforms as an individual contributor on Fortive's AI and Automation team.
Design, develop, and deploy AI/ML solutions including RAG systems, LLM integrations, and vector embeddings using Python, React, and cloud platforms at a pharmaceutical company.
Data Scientist building and maintaining enterprise AI infrastructure—agentic AI frameworks, low-latency LLM inference stacks, and MLOps/DevOps pipelines—primarily on AWS for OCBC Bank in Singapore.
The Staff Software Engineer will lead the architecture and development of scalable, cloud-native automation systems while mentoring engineers and driving AI-native development practices. The role involves deep technical ownership of complex features and close collaboration with cross-functional teams to deliver enterprise-grade AI-powered automation solutions.
About us Looking for your next challenge? Allfunds (AMS: ALLFG) is a fast-paced, dynamic, Wealthtech leader with 17* offices around the globe and our employees are the best at what they do. We have a relentless passion…
Build and deploy autonomous AI agents that handle data engineering tasks (ingestion, transformation, validation, remediation) on AWS, using LLMs, agentic frameworks, and RAG systems with minimal human intervention.
Builds full-stack features for AI customer-service products, including agentic systems, RAG pipelines, and highload backend services using React, Node.js, Python, and self-hosted LLMs.
Design and deploy AI architectures for insurance pricing, integrating LLMs and agentic workflows to automate tariff analysis and simulations for Allianz’s Global P&C team.
Design and implement autonomous AI agents for SRE, DevOps, and DBA workflows on a platform called Quartermaster, integrating with Kubernetes, Terraform, cloud APIs, and monitoring tools using Python, Go, Java, or Kotlin.
Builds AI-driven incident response tools in Python/React, owns full-stack infrastructure (AWS, Kubernetes, Terraform), and ships production software in a fast-moving startup. Focuses on agentic AI workflows, observability, and cybersecurity-aligned systems.
Staff Applied Data Scientist building statistical and ML capabilities that power autonomous AI agents investigating enterprise data, using Python, ML libraries, and LLM-powered workflows.
This role involves developing and scaling an AI-assisted silicon design framework using agentic ecosystems, RAG, and LLM orchestration. The engineer will build production-ready AI workflows to automate and optimize the silicon IP development lifecycle.
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