2 дня назад
Staff Engineer / AI Builder
176 612 - 243 680CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer / AI Builder (Agentic AI/GenAI): Designing and delivering production AI/ML systems, agentic workflows, RAG pipelines, and cloud-native services with an accent on architecture, reliability, observability, and scalable AWS integrations. Focus on building evaluation and tracing into LLM systems, handling model failures with resilient patterns, and leading end-to-end technical delivery across full-stack platforms.
Location: Remote in Canada
Salary: CAD 176,612–243,680 per year
Company
Robots & Pencils designs and delivers production-ready AI systems that integrate with enterprise operations and real-world workflows.
What you will do
- Design and build agentic workflows, including reasoning loops, tool and function calling, and single- and multi-agent orchestration.
- Build and maintain RAG pipelines with chunking, embeddings, OpenSearch vector search, re-ranking, and knowledge refresh handling.
- Integrate AWS Bedrock and Agent Core, including MCP-based tool design and production system prompts.
- Develop LLM evaluation and observability using golden datasets, RAGAS-style metrics, LLM-as-judge, and tracing tools.
- Build Python and Node.js backend services, serverless AWS architectures, DynamoDB schemas, and event-driven workflows.
- Lead architecture decisions, mentor engineers, and own features and releases through debugging, hardening, deployment, and production support.
Requirements
- 6+ years of professional software engineering experience, including production GenAI or LLM systems.
- Hands-on experience with agentic AI, reasoning loops, tool calling, multi-agent orchestration, and RAG systems.
- Experience with LLM evaluation and observability, including golden datasets, LLM-as-judge, RAGAS or comparable metrics, and tracing.
- Strong experience with the AWS GenAI stack: Bedrock, Agent Core, Lambda, DynamoDB, S3, SQS, EventBridge, and Step Functions.
- Strong Python and Node.js skills, including full-stack applications and RESTful APIs.
- Experience with reliability patterns for LLM systems, Docker, cloud-native deployment, and integration-heavy technical ownership.
Nice to have
- Direct experience with Amazon Bedrock Agent Core registration, MCP tool wiring, memory and session management, and gateway provisioning.
- Experience in education, healthcare, financial services, or another regulated or high-stakes domain.
- Familiarity with Step Functions, Sequencer, or similar state-machine-based workflow tools.
- Production experience with LLM observability tooling.
Culture & Benefits
- Work on real, in-flight AI projects designed for human workflows and enterprise operations.
- Production-ready AI systems are delivered in 30–45 days.
- Cross-functional collaboration with product, design, and delivery leads across global teams.
- Technical leadership, mentoring, and continuous improvement of agentic engineering practices.
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