Our client is a custom software development company out of Grand Rapids, Michigan, that exists to make software that humans actually like to use. Type: P/T Contract 20-40 hours/week to start Duration: 2 months to start - could go longer, may convert to an FTELocation: West MI (Prefer hybrid, will look at remote) Role Overview: The Technical AI Enablement Engineer leads the architectural implementation of AI across the enterprise. Unlike a traditional software engineer, your focus is specifically on the orchestration layer-building RAG pipelines, managing API integrations, and developing middleware that enables business units to leverage LLMs safely, efficiently, and at scale. Key Responsibilities: ● Design and deploy AI agents using frameworks such as LangChain, LlamaIndex, or AutoGPT to automate complex, multi-step business logic.● Build and maintain Retrieval-Augmented Generation pipelines, including managingvector databases (e.g., Pinecone, Weaviate, or Milvus) and document ingestion workflows.● Develop robust Python or Node.js middleware to connect frontier models (OpenAI, Anthropic, Gemini) with internal legacy databases and CRM systems.● Implement "LLM-as-a-judge" frameworks and automated testing suites to measure model accuracy, latency, and hallucination rates in production.● Establish technical guardrails for PII masking, prompt injection mitigation, and tokencost optimizationacross all internal applications.● Guide the selection of hosting environments (e.g., AWS Bedrock, Azure AI Studio) and manage model versioning and deployment cycles.
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