Staff Engineer / AI Builder

Responsibilities

• Design and build agentic workflows using reasoning loops, tool and function calling, and single- or multi-agent orchestration.
• Build and maintain RAG pipelines covering chunking, embeddings, vector search, re-ranking, and knowledge refresh handling.
• Integrate AWS Bedrock and Agent Core, including MCP-based tool design and agent memory or session management.
• Create production system prompts, evaluation datasets, LLM-as-judge workflows, RAGAS-style metrics, and tracing or observability.
• Design reliability patterns for LLM systems, including retries, backoff, jitter, circuit breakers, fallback models, and degradation handling.
• Build Python and Node.js backend services, AWS serverless architectures, DynamoDB schemas, and event-driven workflows.
• Contribute to frontend integration, deployment, monitoring, troubleshooting, debugging, and production hardening.
• Provide technical leadership, establish engineering standards, mentor engineers, and own features and releases end-to-end.

Requirements

• 6+ years of professional software engineering experience, including meaningful experience shipping GenAI or LLM-powered systems in production.
• Hands-on expertise with agentic AI, reasoning loops, tool or function calling, and single- and multi-agent orchestration.
• Practical RAG expertise with chunking strategies, embeddings, vector databases, cosine similarity search, and re-ranking.
• Experience building LLM evaluation and observability systems using golden datasets, LLM-as-judge, RAGAS or comparable metrics, and tracing tools.
• Strong production prompt-engineering skills involving structured role framing, output constraints, and few-shot design.
• Hands-on experience with AWS Bedrock, Agent Core, Lambda, DynamoDB single-table design, S3, SQS, EventBridge, and Step Functions.
• Strong Python and Node.js skills with experience building full-stack applications and 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, plus the ability to own ambiguous and integration-heavy technical problems.
• Helpful qualifications include direct Amazon Bedrock Agent Core experience, regulated-domain experience, familiarity with Sequencer or similar state-machine orchestration, and production experience with LLM observability tooling.

Benefits

• Annual base salary range of CAD $176,612–$243,680.