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Senior AI Engineer
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
Senior. AI Engineer – Agentic Systems
Build and harden AI agent systems that automate underwriting and claims workflows in insurance, using Python and modern agent frameworks.
Senior Applied AI Engineer
Build and deploy production-grade Generative AI systems, including RAG, Graph RAG, and multi-agent workflows, using Python and LLM frameworks like LangChain and LangGraph.
Principal AI/ML Architect
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
RQ-2026-009815 - 2x Senior Artificial Intelligence (AI) Software Developer for Referral RAG and MCP
Build AI agents that use RAG and MCP to help clinicians find referral destinations, validate referrals, and improve healthcare navigation using FHIR APIs, AWS HealthLake, and provincial health data.
Senior AI Developer (Solid experience with AWS, MLOps, AgentCore & GenAI and agentic AI)
Build and deploy AI agents and GenAI systems on AWS, integrating them into insurance workflows while optimizing performance and mentoring junior developers.
AI Infrastructure Engineer
Build and run a production-grade agentic platform on Kubernetes using Go and Python, integrating AI agents with enterprise tools, memory, and security layers.
Senior Software Engineer II, AI Native, Mobile, Experimentation & ML Intelligence Remote, USA; [...]
Build and ship AI-native mobile growth experiments for Life360’s Android app using LLMs and agentic workflows, driving activation, conversion, and retention for 97.8M users.
AI Security Engineer, Senior
Senior role designing and enforcing AI and API security controls, reviewing LLM-based systems for prompt-injection and data risks, and drafting secure-by-design standards aligned with NIST and OWASP.
AI Agents Solutions Architect - Compliance
Design and deploy AI-powered compliance solutions for a crypto exchange, including agentic workflows, automated analytics, and governance for AML/KYC, sanctions, and regulatory reporting.
AI Solutions Engineer
Build and deploy AI-powered automations (Python/JavaScript) across retail brands, integrating marketing and e-commerce platforms to streamline workflows and reduce manual work.
Fullstack AI Platform Engineer
Build production AI agents and agent-backed workflows on AWS using Python backend services, React/TypeScript interfaces, and Amazon Bedrock, focusing on tool calling, structured outputs, and RAG workflows.
Principal AI Engineer
Principal AI Engineer builds and deploys low-latency AI systems for a Canadian brokerage, integrating LLMs into trading platforms, fine-tuning models on market data, and architecting autonomous agent workflows for portfolio management.
AI / ML Engineer
Build and deploy AI-powered tools like chatbots and copilots to automate workflows across Tax, Assurance, and Advisory teams using Azure OpenAI, Copilot Studio, and Python.
Senior AI Engineer Python
Build and lead Gen AI products using Python, React, and AWS, designing LLM pipelines, Agentic AI, and RAG systems while collaborating with cross-functional teams.
AI Engineer, Agentic Development
Build and deploy production agentic AI systems for a specialty retailer, designing multi-agent orchestration, tooling, and evaluations while owning the full SDLC.
AI Engineer Sr
Senior AI engineer building enterprise-scale generative-AI agents and orchestration frameworks for a global HR platform, using Python, LangChain/LangGraph, and cloud-native tooling.
AI FullStack Engineer
Build AI-powered full-stack apps for Capital Markets clients using Python, FastAPI, React, and GenAI tools like RAG and LLMs.
Lead AI Engineer
Lead AI Engineer builds and scales AI platforms and data pipelines for RBC’s Wealth Management, integrating Gen AI systems and ML models into production using Python, SQL, and cloud tools.
AI Native Engineer
Build and own AI-powered automation for internal workflows: map processes, design agentic or deterministic solutions, ship production tools, and continuously improve them using LLMs and orchestration frameworks.