Jobs at expert.ai

Partners with account executives and enterprise clients to identify business challenges, lead discovery sessions, design AI solution demonstrations and proofs of concept, support RFPs, develop ROM pricing, and quantify business value. Collaborates with R&D, Product, and Marketing teams while presenting AI capabilities to technical and business stakeholders. The role requires regular Milan office attendance, customer-site travel, and strong Italian and English communication skills.

Lead pre-sales consulting engagements with enterprise and mid-market customers. Discover business challenges, align them with AI capabilities, deliver solution demonstrations and proof-of-concepts, support RFP/RFI responses, develop ROM pricing, and quantify business value. Collaborate with sales, R&D, Product, and Marketing teams while building stakeholder relationships across industries. The role is hybrid near Modena and requires customer travel up to 50% of the time.

Designs and ships production-grade AI systems, including RAG pipelines, agentic workflows, LLM integrations, MCP servers, vector database solutions, and evaluation pipelines. The role requires production Python development, retrieval optimization, prompt engineering, testing, and collaboration with engineers and clients. Candidates should have 2–4 years of software engineering experience, including 1–2 years focused on LLM or applied AI systems, plus at least one production RAG or agentic application.

Partner with account executives to qualify client challenges, lead discovery sessions, demonstrate AI solutions, develop proofs of concept, support RFPs, estimate pricing, and quantify business value. The role requires close collaboration with enterprise stakeholders and internal R&D, Product, and Marketing teams. It is a hybrid Rome-based position with travel to customer sites up to 50% of the time, focused on pre-sales and solution consulting across multiple industries.

Works with customers and internal teams to identify business challenges, define AI use cases, assess technical feasibility, shape solution designs, and support pre-sales activities. The role translates business requirements into AI concepts, contributes to workshops and proposals, evaluates emerging AI tools, and bridges business, technical, product, delivery, and commercial stakeholders.