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Hands-on software engineer manager building AI-driven workflow and automation solutions at State Street Investment Management using Python, Google Gemini Enterprise, LangChain/LangGraph, and cloud services in a regulated financial environment.
The Principal Core Infrastructure Software Engineer leads the architecture and development of scalable, agentic AI systems and distributed infrastructure on Oracle Cloud. This hands-on role involves designing production-grade AI platforms, managing LLM orchestration, and ensuring system reliability and performance at scale.
Build AI-powered systems that turn operational data into trusted insights for manufacturing and avionics, using LLMs, RAG, and MLOps pipelines in a secure, Agile environment.
Design and build production-grade AI agent systems using LangGraph, CrewAI, and MCP, deploying on Azure/AWS while enforcing structured outputs, evaluation pipelines, and Responsible AI guardrails.
Build AI agents and multi-agent workflows to automate clinical data programming and regulatory submissions, using Python/R, LangGraph, and advanced RAG in a GxP-regulated healthcare environment.
Design, build, deploy, and optimize AI-powered applications (agents, assistants, automations) across a healthcare technology company using Python, LLM platforms like OpenAI/Anthropic, RAG, and cloud infrastructure.
Lead the development and operation of scalable Python services for GenAI, LLM, and agentic systems at Vonovia SE, using FastAPI, LangChain/pydanticAI, and MLOps practices in production.
Builds scalable GenAI/LLM systems for Vonovia’s housing operations, designing end-to-end architectures (data prep, model integration, MLOps) and agentic workflows with Python/FastAPI.
The Senior AI and Machine Learning Engineer will design, develop, and deploy scalable AI/ML models and agentic architectures while mentoring junior team members. The role involves collaborating with cross-functional teams to integrate advanced machine learning solutions into production environments using frameworks like PyTorch, TensorFlow, and LangGraph.
Senior AI/ML engineer at HPE responsible for designing, developing, and deploying machine learning and agentic AI solutions using Python, TensorFlow/PyTorch, and frameworks like langGraph within the HPE Operations IT services team.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
Consultant developing and deploying machine learning models and AI solutions (including LLM/RAG applications) for enterprise clients, working with sensor/process data and document automation.
TIQ Solutions is seeking an AI Engineer to develop production-grade AI agents, RAG applications, and machine learning models for enterprise clients. The role involves building backends and integration services using Python, FastAPI, and various LLM frameworks.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
The AI/ML Engineer will develop AI-powered security solutions and product features using LLMs, agentic frameworks, and machine learning techniques. The role involves designing intelligent components and staying current with state-of-the-art AI research to enhance cybersecurity products.
Job Description As a Senior Engineer 2, you'll be part of a key team of Nordstrom Technology professionals who apply engineering and design principles to build the platform that brings Nordstrom's supplier…
Designs and leads GenAI and Agentic AI solutions across multi-cloud environments, focusing on RAG, AI agents, and end-to-end architecture for data, integration, and security. Works with AWS, Azure, and GCP to build scalable, production-grade AI systems with governance and LLMOps practices.
Senior full-stack developer on Downdetector Connect, building React/Redux frontends and Python (FastAPI/Django) backends on AWS to handle large-scale network telemetry and AI-driven outage detection workflows.
Senior Software Engineer building and operating a real-time IoT telemetry data platform—backend services, data pipelines, and forecasting/anomaly detection—primarily with Python, SQL, and Azure Databricks, using AI-assisted coding tools daily.
Lead Java developer focused on rapid troubleshooting, AI-assisted software delivery, and end-to-end feature ownership in enterprise-scale distributed systems and microservices.
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