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Develops and deploys advanced Generative AI solutions (LLMs, multimodal models) for healthcare operations, focusing on prompt engineering, model optimization, and ethical AI practices.
Designs and deploys advanced AI/ML models (4-7 years exp) using Agentic AI frameworks like LangChain, AWS Bedrock, and LLMs for business problem-solving, with a focus on RAG pipelines, prompt engineering, and secure AI agent workflows on AWS.
Lead the enterprise rollout of GitHub Copilot and build AI agents/agentic workflows to accelerate software delivery at FIS, using LLMs, Python, LangChain, and cloud platforms.
The AI Engineer will design, develop, and deploy Generative AI solutions, including chatbots, copilots, and RAG-based applications using Azure, Python, and various AI frameworks. The role involves integrating AI services into enterprise applications and maintaining MLOps workflows.
Designs AI-driven conversational systems and architectures, focusing on LLM-based workflows, agent orchestration (e.g., LangGraph), and Azure AI tools to enable scalable, observable, and secure AI solutions for enterprise clients.
Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens…
Assist in designing and implementing cloud-based and AI-powered solutions (RAG, chatbots, copilots) for enterprise clients using Azure, AWS, and GCP, collaborating with senior architects on workshops, POCs, and technical proposals.
Cloud and AI Security Engineer at Axos Bank in Manila, building security frameworks for AI/ML platforms, LLM applications, and multi-cloud infrastructure (AWS, Azure, GCP), focusing on AI-specific threat mitigation like prompt injection, adversarial attacks, and RAG security.
The Principal Applied AI Engineer will design and implement AI-driven agents and conversational workflows to optimize contact center operations for GE Appliances. The role involves architecting scalable solutions using LLMs, RAG, and cloud infrastructure to automate customer service interactions and transactional processes.
The Python Developer will design and maintain AI-driven applications and data pipelines for financial sector clients using Python, PyTorch, LangChain, and cloud-native technologies. The role involves working in an Agile environment to build scalable backend services and integrate Generative AI solutions.
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.
Lead an AI For Technology team at JPMorganChase's Commercial and Investment Bank, applying AI/ML techniques (LLMs, GenAI, agentic workflows) to software engineering workflows using Java and Python.
We’re looking for a Senior AI Engineer to help build production-grade AI systems with a strong focus on retrieval quality, agent orchestration, and reliability at scale . You would take ownership of the full RAG…
At HTEC, customers come to us with business problems they want to solve through AI: increasing revenue, reducing cost, transforming customer service, and modernizing how they build software or run operations. Your job…
This role is for an AI Application Developer to build and deploy Agentic and Generative AI solutions within the banking sector. The developer will work with LLMs, orchestration frameworks like LangChain, and cloud-native technologies to create intelligent, context-aware applications.
The AI Product Manager will lead the strategy, development, and scaling of enterprise AI solutions within Mattel's Office of AI. This role involves collaborating across business functions to implement AI-powered workflows while ensuring compliance with responsible AI governance and security standards.
About the job Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing? With over 2000 employees, offices on five…
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