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:
- SOP documentation
- Product metadata (PostgreSQL)
- Wellness / vitamin knowledge sources
- 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
