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Build and scale backend services for an IoT platform, integrating AI tools and AWS cloud to process real-time device data and automate engineering workflows.
Senior Solutions Architect embeds with clients to design and build production-grade GenAI systems in Python, owning architecture, trade-offs, and direct client communication.
Senior Solutions Architect embeds with clients to design and build production-grade Python and GenAI systems, owning architecture decisions and direct client communication.
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.
Builds and maintains AI-powered data pipelines and semantic layers for a banking-focused tech platform, integrating structured and unstructured data with LLMs and graph databases.
Build semantic data layers and knowledge graphs to power enterprise AI systems using Python, SQL, RDF/OWL, and AWS services like Neptune and Bedrock.
Build and maintain AI-focused data pipelines and cloud architectures, using Python, SQL, and AWS tools to feed and optimize machine-learning systems.
Build and own the data foundation: reliably land source data into Snowflake, process it on Databricks, and instrument clean product telemetry so data scientists can trust and use it.
Build AI-powered enterprise solutions for pharma using LLMs, RAG, and knowledge graphs to create intelligent decision-support tools and synthetic personas.
Senior Cloud/DevOps Engineer designs, scales, and secures Yurest’s AWS-based SaaS platform for hospitality clients, using Kubernetes, CI/CD, and AI infrastructure while mentoring the team.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Design and implement AI-driven process reinvention solutions for clients using frameworks like crewAI and LangGraph, integrating data pipelines and process automation tools.
Architect and deliver production-grade AI systems, including agentic workflows and RAG pipelines, using Python, LangChain, and AWS Bedrock. Work with clients to embed AI into enterprise processes and scale intelligent solutions.
Build internal tools and AI integrations for a people-management platform, using full-stack development with React, PHP/Laravel, and AI APIs like AWS Bedrock.
Build and deploy agentic AI systems for clients, designing multi-agent workflows, RAG pipelines, and tool-using LLMs with AWS Bedrock and LangChain, while owning end-to-end delivery from architecture to production.
Design and maintain AWS-based cloud infrastructure, CI/CD pipelines, and Kubernetes clusters for a global payroll and payments platform.
Principal Software Developer – AI Data Architect designs and leads an AI-ready data platform for Caseware’s cloud products, setting standards for data modeling, governance, and AI integration while mentoring teams.
Builds AI-powered enterprise apps in Java using LLMs, Spring AI, and cloud services; integrates APIs and microservices while ensuring production-grade quality.
Senior Java developer building AI-powered enterprise apps with Spring Boot, LLMs, and cloud AI services, using AI-assisted workflows and prompt engineering in a hybrid Toronto role.
Build and deploy Generative AI systems for financial applications, including RAG pipelines, vector databases, and AI agents, using Python, AWS Bedrock, and LangGraph.
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