– AI Engineer (Agentic AI)

Position: AI Engineer – Agentic Development

Location: Based in Seattle, WA or the Pacific Time Zone (Vancouver, BC also considered)

Experience: 5–8 Years

Employment Type: Contract

About the Role

We are seeking a hands-on AI Engineer to design, build, and deploy production-grade Agentic AI systems for a leading retail client. The ideal candidate will have recent experience building and shipping AI agents, implementing multi-agent orchestration, and developing scalable LLM-powered applications.

Key Responsibilities

- Design and build production-ready AI agents and multi-agent orchestration systems.
- Develop Agentic AI solutions using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, Claude Agent SDK, or OpenAI Assistants API.
- Build Retrieval-Augmented Generation (RAG) solutions with effective context engineering.
- Implement memory and state management using vector databases and durable workflows.
- Develop evaluation frameworks, observability, telemetry, guardrails, and failure analysis for AI systems.
- Build scalable AI services using Python, FastAPI, Docker, Kubernetes, and cloud platforms.
- Collaborate with engineering teams to deliver production-ready AI applications.




- Optimize latency, token usage, cost, and overall AI system performance.

Required Skills

- 5–8 years of software engineering experience.
- Recent (within the last 1–2 years) hands-on experience building production Agentic AI systems.
- Robust Python programming and software engineering fundamentals.
- Experience with foundation models such as OpenAI GPT-4, Claude, Gemini, or Amazon Bedrock.
- Hands-on experience with one or more Agentic AI frameworks: LangGraph, AutoGen, CrewAI, Semantic Kernel, Claude Agent SDK, OpenAI Assistants API
- Strong knowledge of: Multi-agent orchestration, Tool calling, Context engineering, Retrieval-Augmented Generation (RAG), Memory and state management, Vector databases, Prompt engineering
- Experience deploying production applications using FastAPI, Docker, Kubernetes, AWS, or Azure.
- Excellent communication and collaboration skills.

Nice to Have

- Retail or CPG industry experience.
- Experience with Claude Agent SDK.
- LLM evaluation frameworks and observability.
- Cost optimization for LLM applications.
- Strong stakeholder communication skills.

📌 Artificial Intelligence Engineer (Vancouver)
🏢 ALOIS Solutions
📍 Vancouver