About the role
We are hiring AI Engineers to join a strategic agentic AI engagement with a leading specialty retailer. This is a hands-on build role embedded with the client's engineering team, focused on shipping production agentic systems that automate real business workflows. The role requires designing, building, and evaluating multi-agent systems — from agent orchestration and tool design through evaluation and context management. The right person is comfortable owning the full lifecycle of an agent's development: from design through production deployment, working from requirements the client has already scoped.
What You'll Do
Design and build production agents and multi-agent orchestration systems — not prototypes or one-off experiments. Apply sound judgment on agentic design trade-offs: orchestration patterns, multi-agent coordination, tool design, and MCP (Model Context Protocol) integration considerations. Build and run programmatic evaluations for agents: metrics, offline/online evals, and failure-mode analysis. Apply context engineering practices: context assembly, memory/state management, and context handling under token, latency, and cost constraints. Ship production-ready code through the full SDLC, working largely independently from requirements the client's team has already defined. Partner with client engineers and stakeholders; stay cognizant of end-customer and user experience even when requirements are handed off rather than gathered directly. Contribute to engineering standards and help raise the broader team's working fluency with generative AI by example.
Required Skills & Experience
Software Engineering: 5+ years of experience with strong fundamentals — production-ready code, full SDLC ownership, and real deployment experience, not just development. Generative AI / Agentic Systems: Recent (within the last year), hands-on experience building and shipping agentic systems — open source or production — beyond experimentation. Foundation Models: Working knowledge of modern foundation models and current agentic design approaches and trade-offs. Evaluation: Practical experience with agent evaluation — programmatic metrics, offline/online evaluation, and failure-mode analysis. Context Engineering: Practical experience with retrieval, context assembly, and memory/state management under real constraints. Frameworks: Comfortable working framework-agnostic. Exposure to any of LangGraph, AutoGen, CrewAI, Semantic Kernel, Claude Agent SDK, or the OpenAI Assistants API valued as evidence of transferable concepts, not a checklist requirement. Communication: Strong written and verbal communication; comfortable operating from client-defined requirements with minimal hand-holding.
Nice to Have
Hands-on experience specifically with the Claude Agent SDK. Experience with LLM cost management and optimization. Strong stakeholder communication and requirements-translation skills. Domain experience in Retail or E-commerce — customer journey data, transaction analytics, or similar.
Work Arrangement & Eligibility
Strong preference for candidates based in Seattle, WA, or otherwise located in the Pacific/West Coast time zone; candidates based in Vancouver, BC are explicitly welcome to apply. Lower preference for fully remote candidates outside the Pacific/West Coast time zone, due to team overlap requirements. Hybrid arrangements will be considered for strong candidates; periodic on-site travel to Seattle may be required.
Not the right fit? Search for AI Engineer jobs in Vancouver, British Columbia, Canada
About ALOIS Solutions
ALOIS Solutions is a rapidly expanding Talent and Technology Solutions company. We thrive on embracing challenges as catalysts for unprecedented growth and groundbreaking innovation. Our core expertise lies in providing strategic and ingenious solutions to conquer even the most intricate issues faced by our esteemed clients. As esteemed partners to industry-leading MSP programs like Magnit, Kelly, Tapfin, Allegis, and Guidant Group, we exude pride in consistently delivering excellence. Believing fervently in the transformative potential of every problem, we envision strategic opportunities that drive your esteemed organization forward. Cultivating enduring partnerships stands at the heart of our service philosophy, solidifying our reputation as a truly distinctive service provider. Our global impact resonates through a strategically located network of seven offices, spanning USA, Costa Rica, UK, Netherlands, Poland, India, Australia and Singapore. Our regional experts have achieved resounding success in servicing clients across more than 21 countries, reinforcing our status as an unwavering international ally you can unreservedly rely on. ALOIS Solutions proudly offers comprehensive onshore, offshore, and nearshore services, thoughtfully tailored to embrace cost efficiencies and the potency of same-time-zone execution. At our core, we are a driving force committed to making a profound global impact, transcending boundaries and empowering organizations on a transformative scale.
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About the role
We are hiring AI Engineers to join a strategic agentic AI engagement with a leading specialty retailer. This is a hands-on build role embedded with the client's engineering team, focused on shipping production agentic systems that automate real business workflows. The role requires designing, building, and evaluating multi-agent systems — from agent orchestration and tool design through evaluation and context management. The right person is comfortable owning the full lifecycle of an agent's development: from design through production deployment, working from requirements the client has already scoped.
What You'll Do
Design and build production agents and multi-agent orchestration systems — not prototypes or one-off experiments. Apply sound judgment on agentic design trade-offs: orchestration patterns, multi-agent coordination, tool design, and MCP (Model Context Protocol) integration considerations. Build and run programmatic evaluations for agents: metrics, offline/online evals, and failure-mode analysis. Apply context engineering practices: context assembly, memory/state management, and context handling under token, latency, and cost constraints. Ship production-ready code through the full SDLC, working largely independently from requirements the client's team has already defined. Partner with client engineers and stakeholders; stay cognizant of end-customer and user experience even when requirements are handed off rather than gathered directly. Contribute to engineering standards and help raise the broader team's working fluency with generative AI by example.
Required Skills & Experience
Software Engineering: 5+ years of experience with strong fundamentals — production-ready code, full SDLC ownership, and real deployment experience, not just development. Generative AI / Agentic Systems: Recent (within the last year), hands-on experience building and shipping agentic systems — open source or production — beyond experimentation. Foundation Models: Working knowledge of modern foundation models and current agentic design approaches and trade-offs. Evaluation: Practical experience with agent evaluation — programmatic metrics, offline/online evaluation, and failure-mode analysis. Context Engineering: Practical experience with retrieval, context assembly, and memory/state management under real constraints. Frameworks: Comfortable working framework-agnostic. Exposure to any of LangGraph, AutoGen, CrewAI, Semantic Kernel, Claude Agent SDK, or the OpenAI Assistants API valued as evidence of transferable concepts, not a checklist requirement. Communication: Strong written and verbal communication; comfortable operating from client-defined requirements with minimal hand-holding.
Nice to Have
Hands-on experience specifically with the Claude Agent SDK. Experience with LLM cost management and optimization. Strong stakeholder communication and requirements-translation skills. Domain experience in Retail or E-commerce — customer journey data, transaction analytics, or similar.
Work Arrangement & Eligibility
Strong preference for candidates based in Seattle, WA, or otherwise located in the Pacific/West Coast time zone; candidates based in Vancouver, BC are explicitly welcome to apply. Lower preference for fully remote candidates outside the Pacific/West Coast time zone, due to team overlap requirements. Hybrid arrangements will be considered for strong candidates; periodic on-site travel to Seattle may be required.
Not the right fit? Search for AI Engineer jobs in Vancouver, British Columbia, Canada
About ALOIS Solutions
ALOIS Solutions is a rapidly expanding Talent and Technology Solutions company. We thrive on embracing challenges as catalysts for unprecedented growth and groundbreaking innovation. Our core expertise lies in providing strategic and ingenious solutions to conquer even the most intricate issues faced by our esteemed clients. As esteemed partners to industry-leading MSP programs like Magnit, Kelly, Tapfin, Allegis, and Guidant Group, we exude pride in consistently delivering excellence. Believing fervently in the transformative potential of every problem, we envision strategic opportunities that drive your esteemed organization forward. Cultivating enduring partnerships stands at the heart of our service philosophy, solidifying our reputation as a truly distinctive service provider. Our global impact resonates through a strategically located network of seven offices, spanning USA, Costa Rica, UK, Netherlands, Poland, India, Australia and Singapore. Our regional experts have achieved resounding success in servicing clients across more than 21 countries, reinforcing our status as an unwavering international ally you can unreservedly rely on. ALOIS Solutions proudly offers comprehensive onshore, offshore, and nearshore services, thoughtfully tailored to embrace cost efficiencies and the potency of same-time-zone execution. At our core, we are a driving force committed to making a profound global impact, transcending boundaries and empowering organizations on a transformative scale.