Seeking Senior AI Engineers / Applied GenAI Engineers!
Location : Phoenix, AZ preferred (hybrid/on-site)
Duration : Initial 6-month engagement
Engagement Type : Contract
(We are unable to partner with third parties at this time)
Overview
We are seeking an experienced Applied AI Engineer / Generative AI Engineer to accelerate the production readiness and enterprise modernization of an internal AI assistant platform ( "Sage") supporting store operations.
This platform delivers intelligent SOP guidance and product knowledge access for in-store teams across departments such as deli, bakery, pharmacy, and wellness.
The ideal candidate has hands-on experience designing, optimizing, and productionizing Retrieval-Augmented Generation (RAG) applications in Microsoft Azure environments.
Responsibilities
Design, optimize, and productionize enterprise RAG architectures
Improve retrieval accuracy, classification logic, and orchestration workflows
Refactor existing monolithic AI application into scalable enterprise architecture
Build and enhance multi-agent orchestration using LangGraph or similar frameworks
Integrate structured and unstructured data sources including:
Implement Azure AI Search indexing and vector search optimization
Develop APIs and backend services using FastAPI / Python
Integrate with Microsoft Azure AI services including:
Azure AI Foundry
Azure OpenAI
Azure AI Search
Improve prompt engineering, grounding, hallucination controls, and answer governance
Support voice-to-text integration for tablet-based user workflows
Collaborate with product and engineering stakeholders to productionize the platform
Required Skills
3-7+ years software engineering experience
2+ years applied Generative AI / LLM implementation
Strong hands-on RAG development experience
Azure AI Search expertise
Azure AI Foundry / Azure OpenAI experience
Python development (required)
FastAPI
Vector databases / embeddings / retrieval tuning
LangGraph or multi-agent orchestration frameworks
API integration design
PostgreSQL
Prompt engineering / grounding techniques
Experience troubleshooting retrieval quality issues
Preferred Skills
C# / .NET ecosystem familiarity
Voice AI / speech-to-text integration
Retail operations / knowledge assistant experience
Enterprise AI governance / responsible AI controls
Copilot / Claude / Cursor exposure