Staff AI Builder

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $176.6k - $243.7k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 6%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Robots & Pencils

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 Venture Round on 2022-04

Artificial Intelligence • B2B • SaaS

Robots & Pencils is a digital innovation firm that specializes in developing digital strategies and products utilizing mobile, web, and frontier technologies to drive transformation for businesses. They focus on areas such as mobile development, product design, UX research, artificial intelligence, machine learning, and organizational change management. With a commitment to blending creativity with technology, they aim to unlock data insights and enhance product innovation, ultimately delivering excellent customer experiences and helping brands gain a competitive edge.

📋 Description

• Lead the design and delivery of AI/ML systems • Define AI architecture and lead model development and optimization • Solve challenging integration problems with emphasis on reliability, security, and scalability • 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, vector search, re-ranking, and knowledge 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 failure handling with retries, circuit breakers, fallback models, and user-facing degradation paths • Build Python and Node.js backend services and AWS 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 tested full-stack code • 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 • Mentor engineers on agentic engineering practices and AI-assisted development tools • Own features and releases end-to-end, including debugging, hardening, and production reliability

🎯 Requirements

• 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 tracing tools like LangFuse/LangSmith • Strong prompt engineering skills • Hands-on experience with AWS GenAI stack: 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 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 • Comfort owning ambiguous, integration-heavy problems and going deeper on technical answers • Helpful extras: Amazon Bedrock Agent Core, regulated or high-stakes domain experience, workflow orchestration tools, and production LLM observability tooling

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