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Lead Architectural AI Engineer
Posted: 05/11/2026
Job Type:
Perm or Contract
Industry: IT
Job Number: 27296
Pay Rate: $ 125.00 - $ 150.00
Job Description
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
Location: 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.
Job Requirements
Required Technical Skills:
● Professional proficiency in Python (specifically for data processing and AI backends) and TypeScript/JavaScript.
● Deep experience with LangGraph or Haystack for building stateful, multi-agent workflows.
● Strong SQL skills and experience working with Vector Databases and unstructured data ETL processes.
● Working knowledge of RESTful API design, Webhooks, and authentication protocols (OAuth, API Keys).
● Experience with Git/GitHub, containerization (Docker), and CI/CD pipelines for AIpowered applications.2
● Prompt Engineering (Technical): Mastery of advanced techniques including ReAct prompting, chain-of-thought, and algorithmic prompt optimization.
Experience & Qualifications:
● 4+ years in Software Engineering, Data Engineering, or Solutions Architecture.
● 2+ years of hands-on experience building and deploying LLM-based applications in a production environment.
● Education: BS/MS in Computer Science, Data Science, or a related technical field.
● Portfolio: Ability to demonstrate a github repository or technical project involving
autonomous agents or a complex RAG system
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Ready to embark on an exciting career journey in the vibrant city of Grand Rapids, Michigan? Explore our latest job opportunities in this dynamic region that boasts a thriving job market and a welcoming community. Known as Beer City USA, Grand Rapids is home to an array of craft breweries, stunning art galleries like the Frederik Meijer Gardens & Sculpture Park, and impressive cultural attractions such as the Grand Rapids Ballet and the Grand Rapids Symphony. With its lively downtown area, renowned restaurants serving up local delicacies like pasties and Michigan cherry pie, and picturesque outdoor spaces like Millennium Park and John Ball Zoo, Grand Rapids offers a perfect blend of urban amenities and natural beauty for professionals looking to advance their careers in a charming and growing city. Dive into our job listings and discover the opportunities waiting for you in Grand Rapids!
