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Sr. Technical Analyst for Agentic AI at Johnson & Johnson, designing and delivering autonomous document-generation and cognitive-search platforms using agentic AI systems, LLMs, RAG, and orchestration frameworks like LangGraph.
The Data Engineer will design and build scalable data pipelines and analytics solutions using Spark, Python, and Azure cloud services. The role also involves integrating AI-enabled technologies like LLMs and agentic frameworks into data products to support business transformation.
Lead the product backlog and delivery of agentic AI document-generation and cognitive-search platforms at J&J MedTech, working with LLMs, RAG pipelines, multi-agent frameworks (LangGraph, CrewAI, AutoGen), vector databases, and AWS AI services.
This role involves designing and developing production-grade Agentic AI systems for financial platforms at Citi. The engineer will build multi-agent architectures, optimize RAG pipelines, and integrate LLMs to automate complex financial decision-making workflows.
This role involves designing and integrating generative and agentic AI solutions into enterprise platforms using Python, RAG, and multi-agent orchestration frameworks. The developer will focus on architecting scalable AI systems, including knowledge graphs and agent harnesses, to enhance operational efficiency.
This role involves designing and developing production-grade Agentic AI systems for financial platforms at Citi, utilizing Python, LLMs, and multi-agent frameworks. The engineer will lead the architecture of autonomous systems to automate complex financial workflows and decision-making processes.
The AI Engineer will design, develop, and deploy AI-powered agents and intelligent workflow solutions to automate and improve HR processes. The role requires expertise in Python, LLMs, and enterprise platforms like Workday and ServiceNow to build scalable AI applications.
Design and build high-performance distributed systems infrastructure powering AI/Agentic workflows at WEX, including a Data Lakehouse, context retrieval fabric, and multi-cloud (AWS/Azure) platform tooling. Core tech: Java/Scala, Python, Terraform, GitOps, vector databases, and AI agent frameworks.
Builds and deploys AI-driven security solutions for RBC, focusing on agentic AI, LLM applications, and RAG pipelines to enhance enterprise security and developer experience.
The AI Full Stack Builder will design and deploy end-to-end applications that integrate AI models and tools into production systems for RBC Capital Markets. This role involves managing the full development lifecycle, from backend and frontend engineering to optimizing AI pipelines and ensuring system scalability.
Full Stack Software Engineer developing and maintaining web applications using ReactJS, Python/Node.js, and AWS, with opportunities to work with generative AI/LLM technologies.
The Forward Deployed Engineer designs and deploys enterprise-grade agentic AI solutions using Salesforce's Agentforce platform. This role involves building multi-agent workflows, integrating with legacy ERP systems, and architecting real-time data grounding systems for enterprise customers.
Hands-on Forward Deployed Engineer building and deploying Salesforce Data 360 (real-time data engine) solutions directly in enterprise customer environments, using SQL, Python, Apex, and Data Cloud tooling to engineer data pipelines, RAG/vector search layers, and agent-to-agent integrations for Agentforce.
The Program Manager will lead the strategy and execution of customer support initiatives, specifically focusing on conversational design and LLM-powered chatbot optimization. The role involves working with engineering and product teams to refine prompt generation, knowledge management, and agent-customer communication standards.
THE COMPANY: STACK INFRASTRUCTURE (STACK) provides digital infrastructure to scale the world’s most innovative companies. We are an award-winning industry leader in building, owning, and operating highly efficient,…
Where Ambition Meets Innovation Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and…
Senior Data Engineer building scalable data and AI platforms on AWS using Python, SQL, Docker, and IaC for mission-critical HR tech solutions used by governments worldwide. Hybrid role in Utrecht.
Build and ship production-grade AI systems—LLM agents, retrieval, and event intelligence—that power incident management and automation at scale for thousands of customers.
An AI engineer focused on pre-sales, collaborating with sales teams to assess customer needs, design tailored AI solutions, and build demos showcasing GenAI/ML applications to drive business outcomes.
Build and evolve the agentic layer of a platform—MCP servers, graph-RAG pipelines, and LLM integrations—using Python, working closely with product, data, and QA teams in an agile model.
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