AI Engineer – AWS & Amazon Bedrock

About the job
Job Title: AI Engineer (AWS GenAI)

Employment Type: Contract

Location: Toronto , ON (Onsite)

Job Summary

We are seeking an experienced AI Engineer with a strong 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.”