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Designs and builds autonomous AI agents that plan, reason, and execute multi-step tasks using Python and modern AI frameworks.
Designs and maintains scalable cloud-native infrastructure, CI/CD pipelines, and observability systems for fintech platforms, integrating AI-driven automation (e.g., agentic workflows) to enhance reliability and operational efficiency.
Staff DevOps Engineer owning cloud infrastructure architecture, CI/CD pipelines, and observability at Newmark Group, with a focus on integrating agentic AI workflows into platform operations. Core technologies include Terraform, Kubernetes, Azure/AWS/GCP, and AI orchestration frameworks.
Lead software engineer designing and deploying agentic AI applications (e.g., LangChain, AWS Bedrock) in a cloud-native, microservices architecture on AWS, focusing on autonomous reasoning, tool-use, and production-grade scalability while driving AI-assisted engineering practices across a fintech team.
Build and optimize AI agents using GPT models and prompt engineering for Brazil-Canada operations, integrating APIs and monitoring performance in a fast-paced, remote role.
Build and maintain secure Java/Spring Boot backend services and APIs, and integrate agentic AI workflows (LLM agents, RAG, tool-use) for UK government digital services.
Design and build AI/ML solutions for chemical and manufacturing clients, including time-series models, anomaly detection, and generative AI systems, deployed on cloud platforms.
Architect and develop production-grade autonomous AI agents and orchestration frameworks (LangChain, AutoGen, CrewAI) with LLM integration for an enterprise insurance transformation project, leading technical direction across multiple squads.
Build and maintain C#/.NET microservices for a clinical platform (O4A – TheHub) with an Angular front-end, integrating Azure services and contributing to AI-enabled product features such as LLM integration and document-processing pipelines.
Lead AI and data science projects for a large insurer, building ML and generative AI solutions to drive business insights and strategic decisions while mentoring junior team members.
Develop AI, GenAI and Agentic AI prototypes using Azure, Databricks, and LangChain for a Trading & Supply team. Responsibilities include building RAG solutions, deploying agents, and managing scalable AI workflows with Python and SQL.
Hands-on AI Architect leading solution architecture for client generative and agentic AI builds at a consulting firm in Singapore, designing reference architectures, setting security/governance standards, and owning model/vendor strategy across regulated sectors.
Builds responsive web and mobile UIs with React/React Native while integrating AI features like LLMs, prompt engineering, and agent workflows to create intelligent user experiences.
Senior Data Scientist analyzes WeChat ecosystem data, builds computer vision and LLM-based solutions, and translates insights into actionable business strategies using deep learning and AI.
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
Leads AI architecture and development of agentic/Generative AI systems, including LLM-powered agents, RAG pipelines, and multi-agent workflows, while mentoring engineers and collaborating cross-functionally to deliver scalable, production-grade solutions.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
This role involves working with major Chinese Cloud Service Providers to architect and deploy NVIDIA BlueField DPU and DOCA-based networking solutions for Agentic AI workloads. The architect will lead technical engagements, optimize North-South traffic, and bridge local customer requirements with NVIDIA's global product roadmap.
The Senior AI Engineer will build and maintain agentic AI workflows and RAG pipelines, integrating them with RPA systems to automate enterprise processes. The role requires strong Python skills and experience deploying production-ready AI solutions using frameworks like LangChain and various LLM APIs.
The AI Engineer will build and operate AI-powered products within small, embedded pods to solve learning and operational problems at SNHU. The role involves using AI-augmented development workflows, agent orchestration, and LLM integration to deliver scalable solutions.
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