Staff AI Builder

Robots & Pencils

. Lead the design and delivery of AI/ML systems .

Posted 9/24/2026full-timeRemote • CanadaLead💰 CA$176,612 - CA$243,680 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering AI/ML systems, with a strong focus on agentic AI, RAG pipelines, and production reliability patterns. Proficient in full-stack development using Python and Node.js, and experienced in AWS services for scalable solutions.

Highest-signal resume keywords

AI/ML System DesignAgentic AI DevelopmentRAG Pipeline ExpertiseAWS GenAI Stack ProficiencyProduction Reliability Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonNode.jsPrompt EngineeringRAG TechniquesFull-Stack DevelopmentRESTful API DevelopmentDynamoDB DesignEvent-Driven OrchestrationEvaluation and Observability for LLMProduction Troubleshooting

Soft Skills

MentoringProblem-SolvingCollaboration

Tools & Technologies

AWS BedrockOpenSearchDockerAWS LambdaS3SQSEventBridgeStep FunctionsClaude CodeLangFuse

Industry Keywords

GenAILLMAgentic WorkflowsMulti-Agent OrchestrationHigh-Stakes Domain Experience

Tech Stack

Tools & technologies

AWSCloudDockerDynamoDBJavaScriptNode.jsPython

About the role

Key responsibilities & impact

Lead the design and delivery of AI/ML systems
Define AI architecture and lead model development and optimization
Design and build agentic workflows, including reasoning loops, tool/function calling, and single- and multi-agent orchestration
Build and maintain RAG pipelines with chunking, embeddings, OpenSearch vector search, re-ranking, and refresh handling
Integrate AWS Bedrock and Agent Core, including MCP-based tool design
Write and iterate on production system prompts
Build evaluation and observability into agents using golden datasets, RAGAS-style metrics, LLM-as-judge, and tracing
Design for LLM failures using retries, backoff, circuit breakers, fallback models, and user-facing degradation handling
Build backend services in Python and Node.js, including AWS Lambda and API Gateway serverless architectures
Design DynamoDB single-table schemas for conversation state, agent memory, and session history
Support event-driven orchestration with Step Functions, SQS, and EventBridge
Contribute to frontend integration points and write clean, tested code across the stack
Support deployment, monitoring, and production troubleshooting in AWS and Docker environments
Partner with product, design, and delivery leads across global teams to scope and ship features end-to-end
Mentor engineers and improve agentic engineering practices, including use of Claude Code
Own features and releases end-to-end, including debugging, hardening, and production reliability

Requirements

What you’ll need

6+ years of professional software engineering experience, including meaningful time shipping GenAI/LLM-powered systems in production
Hands-on depth in agentic AI, including reasoning loops, tool/function calling, and multi-agent orchestration
Practical RAG expertise, including chunking strategies, embeddings, vector databases such as OpenSearch or similar, cosine similarity search, and re-ranking
Experience building evaluation and observability for LLM systems, including golden datasets, LLM-as-judge, RAGAS or comparable metrics, and LangFuse/LangSmith or similar tracing tools
Strong prompt engineering skills
Hands-on experience with the AWS GenAI stack: Bedrock, Agent Core, Lambda, DynamoDB single-table design, S3, SQS, EventBridge, and Step Functions
Strong Python and Node.js skills
Experience building full-stack applications and RESTful APIs
Understanding of production reliability patterns for LLM-backed systems, including retries/backoff, circuit breakers, and fallback models
Experience with Docker and cloud-native deployment
Ability to own ambiguous, integration-heavy problems and provide technically deep answers
Helpful extras: direct Bedrock Agent Core experience; regulated or high-stakes domain experience; workflow orchestration familiarity; production LLM observability experience