AI Engineer - AWS GenAI (Toronto)
Enterprise Solutions
Job Title: AI Engineer (AWS GenAI)
Employment Type: Contract
Location: Toronto, ON (Onsite)
Job Summary
We are seeking an experienced AI Engineer with a solid background in software development and AWS cloud-native technologies to design, develop, and deploy enterprise-grade Generative AI solutions. The ideal candidate will have hands‑on experience building production-ready AI applications using Large Language Models (LLMs), Amazon Bedrock, AI Agents, Retrieval-Augmented Generation (RAG), LangChain/LangGraph, and AWS serverless services. This role requires expertise in designing scalable, secure, and highly available cloud-native architectures while delivering AI-powered business solutions in production environments.
Required Qualifications
- 5+ years of software development experience.
- Strong experience with AWS cloud-native application development.
- Hands‑on experience implementing Generative AI and Large Language Model (LLM) solutions.
- Experience designing and deploying production‑grade AI applications.
- Strong programming experience in Python.
- Experience with AWS serverless technologies including Lambda, API Gateway, and DynamoDB.
- Experience integrating AI/LLM solutions into enterprise applications.
- Strong understanding of software architecture, APIs, microservices, and cloud‑native design principles.
- Experience with CI/CD, monitoring, logging, and security best practices.
Preferred Qualifications
- Experience with Amazon Bedrock.
- Experience building AI Agents and Agentic AI solutions.
- Experience implementing Retrieval-Augmented Generation (RAG) architectures.
- Experience with vector databases and semantic search.
- Experience using LangChain and/or LangGraph.
- Experience with multi‑agent systems.
- Experience with AI governance, observability, and responsible AI practices.
Key Responsibilities
- Design and develop cloud-native AI applications on AWS.
- Build and deploy Generative AI solutions using LLMs and Amazon Bedrock.
- Design and implement AI Agents, RAG pipelines, and intelligent workflows.
- Develop scalable serverless architectures using AWS Lambda, API Gateway, DynamoDB, and related AWS services.
- Integrate AI capabilities into enterprise applications and business processes.
- Implement security, monitoring, governance, and compliance controls for AI solutions.
- Optimize AI application performance, reliability, and operational costs.
- Collaborate with business stakeholders, architects, and engineering teams to deliver production-ready AI solutions.
“We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.”
#J-18808-LjbffrVacancy posted 4 hours ago
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