Senior AI Engineers / Applied GenAI Engineers
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