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About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative…
At Regnology our greatest asset is our people. We value diversity and foster an inclusive environment that supports learning, safety, and growth. By investing in our team, listening to customers, and encouraging…
Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits? Our “people helping people” philosophy…
At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth,…
Typically found in large central departments serving multiple departments or units, this family involves providing day-to-day advanced consultation, training, instruction and troubleshooting / problem-solving to…
Freelance/B2B DevOps Engineer focused on evolving a hybrid Kubernetes platform (on-premise + AWS/Azure), implementing GitOps with ArgoCD, and applying AI automation tools to infrastructure and development workflows.
Senior Backend Developer building an AI Generative platform on Azure, designing backend services, APIs, and AI pipelines for agentic AI systems.
En Decskill , creemos que la excelencia tecnológica nace del talento humano. ¿Tiene las cualificaciones y habilidades adecuadas para este trabajo? Descúbralo a continuación y pulse en "solicitar" para ser…
Lead Data Engineer designing, building, and scaling data pipelines, APIs, and AI-ready data solutions for Fitch Group’s financial services platform. Focuses on cloud (AWS), data governance, and AI/ML tooling (LLMs, RAG, vector databases) to empower business decisions.
Lead AI Engineer designing and operationalizing next-gen agentic AI systems for a financial institution, focusing on LLM architectures, RAG pipelines, and SRE for secure, compliant banking automation.
Senior full-stack engineer building AI-powered features and agentic workflows on an accessibility platform, using TypeScript/Node.js, React, AWS, and LLM integrations.
Compensation Compensation: $130,000 - 150,000 plus up to $20,000 bonus, capped at 150% Job Summary Giesecke+Devrient is a globally leading SecurityTech company. We are seeking a highly technical and execution-focused…
We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle complex knowledge work across…
About Float Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to…
Job Requisition ID # 26WD99365 L'affichage de poste en français suivra / The French job posting follows. 26WD99365, Senior Software Developer, MCP/AI Position Overview Autodesk's Visualization Solutions power…
Senior Engineering Manager, AI Agents Vancouver, BC We’re building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct…
AI Product Manager - Montreal, QC Job no: 532277 - A Brand: Product and Technology Work type: Full time Location: Quebec Categories: Digital and Technology AI Product Manager Flight Centre Travel Group (FCTG) is one of…
Overview AI / ML Engineer role at BPM LLP BPM – where caring and community is in our company DNA; we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. Working…
Lead a team to build agentic AI systems that generate production-grade native mobile apps in Swift/SwiftUI and Kotlin, while defining evaluation pipelines and MCP tooling for reliability.
Senior IC building the platform powering AI agents and accelerators for large-scale legal document review—orchestration, retrieval, evaluation, and inference at production scale using Python, TypeScript, and distributed systems.
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