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Build production-grade full-stack software that integrates with agentic AI systems, using AI tools daily to accelerate development and ship client projects across industries.
Build and maintain client applications using Node.js, occasionally with React.js or Java full-stack, while mentoring junior engineers and solving cross-team technical challenges.
Lead the development of AI-powered search models (LLMs, RAG, vector search) for Caterpillar’s eCommerce parts platform, optimizing relevance and personalization to improve customer experience.
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Lead the design and scaling of SS&C’s enterprise AI agent platform, integrating MCP, multi-agent orchestration, and LLM workflows for financial services and healthcare clients.
QA Engineer builds automated accessibility tests (Playwright + Axe) and performs manual audits (WAVE) to ensure WCAG 2.1/2.2 AA compliance for financial/healthcare web apps, while also contributing to broader UI test automation.
Builds scalable analytics solutions using Databricks and dbt to define metrics, track product KPIs, and enable experimentation for media products.
Build and deploy AI/ML models and analytics for defense health programs, using Python, SQL, and cloud services to deliver predictive insights and decision-support tools.
Account Executive (AE) About DAKCS DAKCS is a 40-year industry veteran in accounts receivable management and collection software. Collecting payments is an integral part of any business, but it can be tedious,…
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Lead AI integration at a global bank, building LLM-powered features and GenAI agents to enhance financial applications and user workflows.
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, focusing on RAG, agents, and MLOps in a regulated financial environment.
Company: Marsh Description: We are seeking a talented individual to join our team at Marsh. This role will be based in Toronto, Calgary, Vancouver, Saskatoon, or Regina . This is a hybrid role that has a requirement of…
Company: Marsh Corporate Description: This role is responsible for supporting production and business applications, monitoring application health, and proactively identifying and escalating issues to stakeholders. It…
Sobre a Accenture A Accenture ajuda as principais empresas do mundo a se reinventarem, construindo seu núcleo digital e liberando o poder da IA para gerar valor com rapidez em organizações de todos os setores. Nossa…
Manager, Marketing AI Solutions Nashville Hybrid or Remote US About the Role As Manager, Marketing AI Solutions , you will build AI capabilities that expand Marketing’s reach and become part of how we do our jobs every…
Designs and improves business courses using learning theories and AI tools, then builds accessible, multimedia-rich content in the university’s LMS for face-to-face, hyflex, and online formats.
Lead a team building scalable cloud services for hyper-personalized marketing platforms using Java, Go, Python, Kafka, and AI tools like Claude Code to deliver millions of customer messages.
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