AI Native Engineer

AI Native Engineer

Location: Vancouver, BC Canada (Hybrid) — Local candidates only

Experience: 7+ Years | Type: Contract/Permanent

Role Summary

We're looking for a hands-on Senior AI Native Engineer to design, build, and ship production-grade AI agents, LLM-integrated applications, and developer productivity tooling on AWS. This is a coding role — the ideal candidate uses GitHub Copilot and/or Claude Code CLI daily and has taken agentic AI or LLM-based solutions beyond POC into real production environments, backed by solid cloud-native engineering, microservices, APIs, and DevOps fundamentals.

Key Responsibilities

• Design, develop, and deploy production-grade AI agents and agentic workflows
• Build LLM-powered applications and integrate AI into enterprise systems
• Develop cloud-native services on AWS; build and maintain microservices, REST APIs, and event-driven integrations
• Use GitHub Copilot and/or Claude Code CLI as part of daily engineering work
• Implement agent workflows using LangGraph, LangChain, CrewAI, AutoGen, Strands, or Bedrock Agents
• Build MCP (Model Context Protocol) integrations and develop MCP servers where applicable
• Design and implement production-grade RAG solutions, including retrieval and evaluation
• Integrate with AWS Bedrock, OpenAI, Anthropic, or other LLM APIs
• Implement LLM observability, tracing, evaluation, and monitoring
• Build AI guardrails, audit logging, and prompt-injection defenses
• Own CI/CD pipelines and support deployment, monitoring, and continuous improvement
• Participate in architecture discussions and code reviews as a strong individual contributor

Must-Have Qualifications

• 7+ years hands-on software engineering (microservices, APIs, cloud-native, enterprise systems)
• 3+ years hands-on AWS and DevOps/CI-CD experience
• Proven experience personally building and deploying an AI agent, LLM integration, or agentic workflow to production
• Active, current IC coding experience (within the last 6 months)
• Demonstrated daily use of GitHub Copilot and/or Claude Code CLI, with real-world examples

Strongly Preferred

• Hands-on MCP server development or MCP-enabled enterprise integration
• Production experience with agent frameworks (LangGraph, LangChain, CrewAI, AutoGen, Strands, Bedrock Agents)
• Strong AWS Bedrock production experience
• Internal developer platform / engineering productivity tooling experience
• Production RAG with measurable retrieval quality and eval frameworks
• LLM observability/eval experience (Langfuse, LangSmith, Braintrust, W&B)
• AI governance experience — guardrails, prompt-injection protection, access controls, audit logging
• Secure enterprise integration design between AI agents and internal systems