
51 - 200 employees
Founded 2000
💼 Consulting
🏢 Enterprise
🤝 B2B
Consulting • Enterprise • B2B
APEXIT is a global IT consulting and professional services firm that provides strategic consulting, implementations, managed services, and custom development to help organizations transform customer, employee, citizen, and student experiences. Their service offerings span CRM and customer experience (social, marketing, sales, CPQ, e-commerce, subscription, content management, customer service, field service, chatbots), HR and workforce management (payroll, benefits, recruiting, onboarding, learning, time & labor), finance and ERP functions (general ledger, payables/receivables, cash management, reporting, planning), supply chain and product lifecycle (inventory, manufacturing, maintenance, order management, procurement), middleware/integration, business intelligence, UI/UX, cloud migrations, master data management, and IoT-related development. Based in Minneapolis, they position themselves as a trusted advisor delivering transparency across strategic planning, implementations, managed services, and custom platform work.
🕒 July 28
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51 - 200 employees
Founded 2000
💼 Consulting
🏢 Enterprise
🤝 B2B
Consulting • Enterprise • B2B
APEXIT is a global IT consulting and professional services firm that provides strategic consulting, implementations, managed services, and custom development to help organizations transform customer, employee, citizen, and student experiences. Their service offerings span CRM and customer experience (social, marketing, sales, CPQ, e-commerce, subscription, content management, customer service, field service, chatbots), HR and workforce management (payroll, benefits, recruiting, onboarding, learning, time & labor), finance and ERP functions (general ledger, payables/receivables, cash management, reporting, planning), supply chain and product lifecycle (inventory, manufacturing, maintenance, order management, procurement), middleware/integration, business intelligence, UI/UX, cloud migrations, master data management, and IoT-related development. Based in Minneapolis, they position themselves as a trusted advisor delivering transparency across strategic planning, implementations, managed services, and custom platform work.
• Design and build reusable AI-powered applications and accelerators • Translate business and product requirements into scalable technical solutions • Define patterns for prompt orchestration, agent workflows, retrieval-augmented generation (RAG), tool calling, and enterprise integrations • Build production-grade AI applications, copilots, assistants, and workflow automations • Lead development of reusable AI components • Partner with product and business stakeholders to refine use cases into buildable solutions • Evaluate and implement commercial LLMs through APIs • Develop robust prompt strategies, context handling logic, tool usage patterns, and fallback mechanisms • Define coding standards, deployment standards, logging, monitoring, guardrails, and evaluation practices • Serve as the technical lead for AI engineering efforts • Mentor and guide the AI Developer / GenAI Engineer • Collaborate with cross-functional teams including product, architecture, delivery, QA, and operations • Participate in discovery sessions with business and delivery teams to identify opportunities for AI enablement
• Strong software engineering background • Experience building AI/LLM-powered applications • Experience with APIs for OpenAI / Azure OpenAI / Anthropic / Google or similar • Experience with Python and/or Node.js • Experience with RAG, vector databases, embeddings, chunking, retrieval strategies • Experience with orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or equivalent) • Strong knowledge of cloud architecture and secure integrations • Experience with prompt engineering, evaluation, and AI application debugging • Ability to design scalable reusable systems. • Good to have: Experience with enterprise SaaS ecosystems such as Salesforce / Oracle / Microsoft • Experience with agentic workflows • Experience with observability/evaluation platforms • Experience working in consulting or product-based delivery organizations • Exposure to AI governance, data privacy, and model risk considerations.
• Flexible work-life balance • Traditional benefits
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