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Builds and maintains production web applications and AI-powered features across full-stack systems, integrating LLMs and APIs while collaborating with distributed teams.
Build and ship AI agents, agentic workflows, and CRM integrations that automate GTM (sales/marketing) operations at a major Canadian media company, using Python, LLM APIs (Claude, OpenAI, Bedrock), and orchestration tools like LangChain/LangGraph.
Fullstack AI Engineer building production-grade AI agents and LLM-powered workflows using Python, Django, PostgreSQL, and OpenShift/Docker for RBC's Risk, Audit, and Finance teams.
Design, build, deploy, and scale production-grade AI/ML and GenAI solutions for Manulife's Long-Term Care program using Python, Azure, Databricks, MLOps/LLMOps frameworks, and LLMs.
Machine Learning Engineer at Manulife designing, building, and operating ML/AI platforms and pipelines from experimentation to production at scale, using Python, CI/CD tools, Docker/Kubernetes, Terraform, and Azure cloud services.
Own the deployment, operation, and reliability of AI-enabled geoscience software platforms, designing CI/CD pipelines, Kubernetes environments, infrastructure-as-code, and observability systems across Azure and AWS.
AI Automation Engineer building LLM-powered workflows and integrations across a restaurant scheduling/payroll SaaS, using Python, automation platforms like n8n/Zapier, and cloud services to ship process automations business-wide.
Associate Director-level full-stack engineer at Fitch Ratings in Toronto, building and maintaining mission-critical enterprise applications using Python and React, with a focus on scalable backend services, modern frontend experiences, and integrating AI/LLM capabilities.
Full-stack developer implementing OpenAI/GPT-3 to convert podcast transcripts into written content and edit audio/video files for a B2B podcast content marketing agency.
Senior engineer building a contract-review AI agent from scratch across the full stack—React/Next.js UI, LLM orchestration, RAG pipelines, vector stores, and cloud infra—at DeepLaw, a legal-tech startup.
Build and maintain multi-step automations using Make.com and Zapier, integrating Claude/ChatGPT APIs across a marketing tool stack including GoHighLevel, ClickUp, HubSpot, and Slack.
Build and maintain scalable ETL/ELT pipelines and data warehouses for a performance-marketing agency, ensuring reliability, cost-efficiency, and integration with AI tools like LLMs.
Full-stack engineer developing and scaling an AI-powered customer service SaaS platform using TypeScript, React/Next.js, Python/FastAPI, and GCP, working closely with end users to shape the product roadmap.
Data engineer building pipelines, document parsing systems, and LLM-powered applications for a FinTech investments firm in Singapore, using Python, SQL, cloud warehouses (Snowflake/BigQuery/PostgreSQL), orchestration tools, and OpenAI/Anthropic APIs.
Application Architect combining hands-on Python/Azure development with solution design, agile leadership, and client engagement to deliver digital transformation and business process automation projects.
Build and ship backend services powering PwC Middle East's AI products — designing RESTful APIs, orchestrating LLM inference pipelines, and containerizing services using Node.js/Python, Docker, and Azure OpenAI.
Overview: We’re hiring a Laravel Backend Developer to work on a suite of bespoke platforms, including a new AI-powered SaaS product. This role is ideal for someone who thrives on building robust APIs, managing data…
Implements and maintains AI-powered workflows and automations for enterprise clients using low-code/no-code platforms like n8n and Microsoft Power Platform.
The Gen AI Engineer designs and implements retrieval-augmented generation (RAG) pipelines for banking clients using the Azure AI stack and Python-based frameworks. The role focuses on building secure, traceable, and accurate AI systems, including prompt orchestration, guardrails, and vector database management.
This GenAI Engineer role focuses on designing and implementing RAG pipelines and agentic AI solutions for banking clients using the Azure AI stack and Python-based frameworks. The position requires building secure, compliant, and traceable AI systems with a strong emphasis on guardrails, vector databases, and model evaluation.
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