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Design, develop, deploy, and support production-grade AI/ML solutions using Python, PyTorch, scikit-learn, and Azure, working across the full machine learning lifecycle at State Street in Bangalore.
Senior SDE at F5 leading full-stack architecture and delivery of customer-facing web applications in Guadalajara, combining JavaScript/TypeScript (Next.js, React) engineering with AI-augmented development and generative AI solutions.
Full-stack SDE III building and optimizing customer-facing web experiences with Next.js, React, TypeScript, and Sanity CMS, while leading AI-augmented development practices and generative AI agent integration across product, marketing, and platform teams.
Manage a team of Data Scientists at Sanofi's Commercial Data Science division in Toronto, leading the design and deployment of AI, ML, Generative AI, and Agentic AI solutions for commercial operations using Python, cloud platforms (AWS/GCP), and tools like Snowflake.
AI Engineer at Sanofi designing and deploying Generative AI, RAG, and Agentic AI solutions for commercial operations using Python, LangChain, vector databases, and AWS/GCP.
Design, build, and operationalize AI-driven solutions including RAG pipelines, enterprise copilots, and agent-based automation frameworks using LLMs, Snowflake, Power BI/Fabric, and Azure AI platforms for the Analytics & Reporting team.
Design, build, and deploy LLM-powered applications—RAG pipelines, enterprise copilots, and agent-based automation frameworks—using Python, Snowflake, Azure AI Foundry, and LangChain on top of enterprise data platforms at a medical technology company in Atlanta.
Hybrid Solution Architect & AI Engineer at Visa's Miami-based VCA Tech Practice, splitting time equally between enterprise architecture consulting (cloud modernization, payment solutions, integration patterns) and hands-on AI engineering (LLMs, RAG, agentic systems) with Python/TypeScript.
Design, build, and deploy LLM-powered applications (RAG pipelines, enterprise copilots, agent-based automation) integrated with Snowflake and Power BI/Fabric at Siemens Healthineers, using Python, LangChain, Azure AI Foundry, and Azure OpenAI.
The Lead Software Engineer will design and develop scalable full-stack Java applications for Mastercard's payment reconciliation products. The role involves leading engineering teams, implementing microservices, and integrating AI-driven solutions within a cloud-native environment.
The Senior AI Engineer will design and implement enterprise-scale AI solutions, including LLM-powered automation, agentic workflows, and RAG systems. The role involves integrating AI into the software development lifecycle and collaborating with cross-functional teams to advance AI governance and technical maturity.
Lead AI Engineer designing and implementing enterprise-scale AI solutions—LLM integration, RAG systems, agentic AI, MCP servers—within RBC's SDLC using .NET/C#, Java, and Python.
Leads AI adoption and education programs, translating business needs into AI-driven workflows and training for non-technical teams. Focuses on prompt design, agentic AI, and responsible AI use across enterprise systems.
The Principal AI Engineer will lead enterprise-wide AI strategy and implementation, designing and operationalizing solutions like Generative AI and agentic workflows on Azure and Google Cloud. This role involves partnering with cross-functional teams to drive AI adoption in corporate functions and customer-facing products.
At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global…
The Senior Software Engineer will design, develop, and deploy AI/ML models and pipelines to improve operational efficiency within the aerospace and defense sector. The role involves working with Python, MLOps practices, and generative AI technologies in a hybrid work environment.
The Staff Software Engineer will lead the architecture and development of a production-critical platform for manufacturing, utilizing Python, FastAPI, React, TypeScript, and Java. The role involves building scalable, event-driven systems, integrating cloud infrastructure, and applying AI/ML to optimize manufacturing operations.
This 1-year contract role involves leading enterprise application development and integrating AI capabilities like LLMs, RAG, and AI agents. The engineer will manage the full SDLC, implement DevOps practices, and collaborate with stakeholders to deliver secure, scalable cloud-based solutions.
The Associate Solution Architect will assist in designing end-to-end enterprise solutions, including cloud-based systems and AI-enabled applications. The role involves translating business requirements into technical designs, creating architecture documentation, and collaborating with engineering teams to ensure security and scalability.
The Technology Engineer will build and maintain the company's investment platform while driving the adoption of AI-assisted development tools. The role involves full-stack development, managing vendor integrations, and implementing generative AI solutions within a regulated financial environment.
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