AI staffing and consulting firm building production RAG and multi-agent systems
1872 Consulting started as an IT recruiting and staff augmentation firm in 2015 and has evolved into a technology consulting practice spanning embedded systems, ERP implementation, and IoT product management. Their tech stack and active projects signal a sharp pivot toward AI infrastructure: they're building production-grade RAG pipelines, multi-model orchestration frameworks, and AI agents on AWS Bedrock and Claude, while grappling with real-world challenges around inference optimization and scaling AI across distributed operations. The hiring velocity is accelerating, with 14 roles posted in the last 30 days weighted heavily toward senior engineering (11 of 14) — a pattern that suggests they're either scaling a high-touch service delivery model or building internal AI capabilities.
Notable leadership hires: Business Operations Lead
1872 Consulting is a Chicago-based staffing and consulting firm founded in 2014 that pairs technology talent with mid-market and enterprise clients. Originally focused on IT recruiting and staff augmentation, they've broadened their service offering to include consulting on emerging technology implementations—ERP and HCM systems, embedded systems design, IoT and smart home product management, and increasingly, AI infrastructure. The company operates across the United States, Canada, and the United Kingdom and currently employs 11–50 people. Their recent project activity centers on analytics modernization, production AI systems (RAG pipelines and multi-agent frameworks), and large-scale digital transformation initiatives for construction and commerce verticals.
Primary focus areas include analytics platform modernization, production-grade RAG pipelines and agentic systems, multi-model orchestration and inference on AWS Bedrock, and AI agent development for reporting and automation. They're also engaged in large-scale digital commerce and construction technology initiatives.
AWS infrastructure (Lambda, API Gateway, SQS, Step Functions, Bedrock), LLMs (Claude, GPT, Llama), Python, Java, Node.js, Rust, data tools (Databricks, Apache Spark, Hadoop), and Microsoft enterprise stack (Teams, SharePoint, Power Apps).
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