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Design scalable AI platforms and productionise ML/NLP models into cloud-native services using Python, AWS/Azure, Docker, and Kubernetes.
Remote Senior Developer designing and implementing generative AI solutions using LLMs, Python, LangChain, and RAG architectures to build AI-powered applications.
Works as an AWS Solutions Architect on AI implementation projects, designing end-to-end architectures using AWS AI/ML services (Bedrock, SageMaker) and guiding engineering teams to turn client AI strategies into production cloud solutions.
Builds and deploys generative AI agent components and workflows for Huron’s internal AI Store, optimizing performance, tuning models, and supporting cross-functional teams.
Build the shared AI platform layer that lets Oyster teams develop, deploy, and operate secure, production-grade AI applications using LLMs, RAG, agents, and workflows on AWS/Snowflake.
Lead the design and deployment of AI systems (LLMs, computer vision, voice AI) to improve EV-charging analytics, customer support, and automation for ChargePoint’s global network.
Senior Manager, Data Engineering at Farther builds and scales the data platform for a modern wealth-management firm, owning custodial pipelines, security master, and AI-ready data products in PostgreSQL, AWS, and Python.
AI Software Engineer developing core AI services in cybersecurity domain, working with Python and Golang to build high-performance applications, refining AI models, and integrating AI into products.
Senior Cloud Security Engineer at Ontic to lead AWS cloud security program, design and implement security controls, build automation, and support FedRAMP compliance. Works with Engineering and DevOps teams on secure architecture and cloud best practices.
Leads full-stack development for mortgage servicing tech, designing APIs, front-end apps (React/Angular), and AI solutions using AWS Bedrock while mentoring teams and ensuring secure, scalable systems.
Design and implement secure, governed AI search and summarization solutions for VA healthcare using LLMs, RAG, and AWS services while ensuring compliance with Federal AI and cybersecurity standards.
VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will…
Leads AI-driven healthcare projects for the VA, delivering Generative AI search and summarization tools for clinicians using RAG, LLMs, and AWS Bedrock while managing Agile teams and Federal compliance.
Designs and maintains scalable cloud-based data pipelines and architectures for Singapore’s public housing authority, focusing on Data Lakehouse solutions, ETL/ELT workflows, and AI/ML integration to support evidence-based policy and service improvements.
Leads AI/ML engineering teams to design and deploy production-grade AI solutions (LLMs, classical models, agent systems) for consulting clients, focusing on architecture, context engineering, and fine-tuning pipelines while supporting pre-sales and strategy.
Job category:Information & Communication Technology Job location: Parramatta, NSW, AU, 2150 Job reference number:107235 Employment type:Fixed Term Full-Time Salary range:$158393.0-$177399.0 You see the big picture,…
Job Title: Cybersecurity Engineer Role: AI Cloud Security Engineer Dallas, TX (Hybrid) Position Overview The AI Cloud Security Engineer will implement and operationalize enterprise security capabilities across…
Designs and builds AI applications using LLMs, RAG pipelines, and agentic workflows, integrating foundation models via Amazon Bedrock and optimizing retrieval systems with ASP.NET.
Leads AWS cloud financial optimization for a large enterprise, combining cloud engineering, AI, and analytics to drive cost savings and operational efficiency across a multi-million-dollar AWS environment. Focuses on AI-driven insights, automation, and strategic cloud spend management.
Builds AI-powered sports tech applications from scratch, bridging ML models with real-time APIs and interactive 2D visualizations using full-stack tech (Java/TypeScript/React/Node.js) on AWS.
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