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The Full Stack AI & Data Engineer will design, develop, and deploy digital solutions, focusing on generative AI, microservices, and CI/CD pipelines.
Build and architect cloud-based IoT solutions for smart buildings, integrating AI agents and generative AI to enhance development workflows and product features.
Designs and implements data and AI solutions for client projects using modern data tech like Data Lake, Data Warehouse, and Machine Learning, advising on their effective use.
Embed within health systems to architect, integrate, and launch healthcare AI agents into production, primarily connecting Hippocratic AI's LLM platform to enterprise EHR systems (Epic, Cerner, Athena) while building repeatable deployment playbooks.
Build and evaluate post-training pipelines for LLMs that generate clinically sound behavioral health documentation, ensuring accuracy and compliance in a high-stakes healthcare setting.
The DevOps/ML Engineer role at Machine Learning Reply in Germany focuses on bridging the gap between machine learning development and operations.
The Junior DevOps/ML Engineer role at Machine Learning Reply involves working at the intersection of machine learning and infrastructure operations in Germany.
Forward Deployed AI Engineer writing production Python code to implement customer integrations, configure AI voice agents, and build API/webhook connections—on-site in Barcelona.
The Gen AI Engineer designs and implements retrieval-augmented generation (RAG) pipelines for banking clients using the Azure AI stack and Python-based frameworks. The role focuses on building secure, traceable, and accurate AI systems, including prompt orchestration, guardrails, and vector database management.
This GenAI Engineer role focuses on designing and implementing RAG pipelines and agentic AI solutions for banking clients using the Azure AI stack and Python-based frameworks. The position requires building secure, compliant, and traceable AI systems with a strong emphasis on guardrails, vector databases, and model evaluation.
The AI Solutions Architect will lead the design and implementation of end-to-end AI/ML and RAG systems for banking clients, ensuring compliance with regulatory standards. The role involves defining technical architecture across Microsoft Azure and open-source stacks while mentoring a team and establishing engineering guardrails.
Lead data and AI engineering at IAG, building scalable data pipelines and AI platforms while mentoring engineers and setting technical standards.
This role is for a hands-on Senior Data Engineer and leader at a boutique consulting firm, focusing on Microsoft Fabric and AI infrastructure projects. The position involves architectural strategy, team mentoring, and direct client consulting while maintaining a strong focus on coding and metadata-driven architecture.
The Senior Data Engineer will build and maintain data ingestion pipelines, lakehouse structures, and CI/CD workflows using AWS and AI-focused technologies. The role involves establishing data engineering standards and implementing data quality and security controls within a hybrid work environment.
The AI Developer will build and deploy full-stack solutions, focusing on AI-enabled automation and LLM-powered features from prototype to production. This hybrid role in Sydney involves working across front-end, back-end, and data domains within a small, autonomous team.
BJAK is hiring a remote full-stack engineer in Australia to develop their AI-powered finance platform. The role involves building frontend, backend, and internal tools while collaborating closely with cross-functional teams to deliver products rapidly.
Builds and maintains AI-powered web/mobile apps for older Australians, combining full-stack development (Next.js, React Native) with AI/voice-agent features in a regulated environment.
Builds and maintains hybrid cloud data pipelines for analytics/AI, working with Power BI, Microsoft Fabric, and Azure under senior architects' guidance.
Builds and maintains a Python-based MLOps framework for deploying classical ML models, optimizing data storage/access, and ensuring smooth model transitions to production while collaborating with Data Scientists.
Orbis is hiring full-stack software developers in Vancouver to build and maintain technology solutions for investment operations, client reporting, and business insights. The role involves collaborating with stakeholders to deliver features and automations using a problem-solving approach.
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