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Build and maintain an AI platform on Google Cloud for an insurance company, deploying GenAI/ML services, vector search, and agentic frameworks to power enterprise teams like Actuarial and Underwriting.
Key Responsibilities 1. Rapid Prototyping & Application Development Build AI applications, copilots, and agentic workflows end-to-end – UI, APIs, business logic, and model integration. Use rapid development tools…
Build and deploy full-stack AI applications using OpenAI's ecosystem, from conversational apps to agentic systems, end-to-end in TypeScript/React and Python/Node, with RAG pipelines and enterprise integrations.
Build and deploy enterprise-grade AI systems, including LLM agents, retrieval pipelines, and AI gateways, using Python/TypeScript and modern AI engineering patterns.
Build and ship full-stack products with GenAI and agentic capabilities using modern frameworks and cloud-native AI services.
Designs and advises clients on secure GenAI or Computer Vision solutions, running discovery workshops and mapping workflows to scalable architectures under high-security constraints.
Principal AI Engineer designs and owns the shared AI architecture for multi-agent marketing systems, retrieval pipelines, and evaluation frameworks that power SMB-focused products at scale.
Job Description What is the opportunity? Join RBC as a hands-on technical lead building production-grade GenAI and Agentic AI applications for Cyber, Risk, Regulatory, Control & Security domains. This is an…
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that…
Build and deploy full-stack AI applications for enterprise clients using Google's AI stack, including Gemini models, Vertex AI, and agentic systems, from frontend to production deployment.
Lead the architecture of AI-powered data infrastructure for fraud and safety systems, building vector databases, multi-agent orchestration, and proactive guardrails to protect Grab’s platform at scale.
Lead a team to design, build, and deploy AI-powered applications using LLMs, RAG, and vector databases, while mentoring engineers and enforcing engineering standards.
Lead the North America Commercial AI strategy, building and deploying LLM/agentic AI solutions for patient finding, HCP engagement, and commercial workflows in a biopharma company.
Build and harden agentic AI systems that automate underwriting and claims workflows, integrating with legacy insurance platforms while balancing latency, cost, and reliability.
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…
Senior AI Engineer, Agentic Systems The Role As a Senior AI Engineer on agentic systems you'll own the agent architectures that put our models in front of business users, and the work of making them reliable enough…
Leads LangChain’s narrative strategy, shaping brand messaging, media relations, and content across comms, social, and design to build a cohesive public voice for an AI agent platform.
Designs and executes test plans for software products, focusing on quality assurance and evaluation of development workflows.
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