Solutions Engineer driving technical success in sales through compelling product demos and support in a B2B SaaS environment. Collaborating with teams to enhance demo effectiveness and conversion rates.
About the role
- AI Solutions Engineer at Fluent Software Group developing AI-powered customer service voice agents. Managing client relationships, delivering technical solutions, and driving strategic impact on enterprise projects.
Responsibilities
- Serve as the primary point of contact for stakeholders across Customer Service, Operations, IT, and Digital
- Build trusted relationships with senior leaders and day-to-day operators alike
- Communicate clearly with both executives and frontline managers, adjusting depth and framing to your audience
- Act as the connective tissue between client requirements and our core engineering team
- Map end-to-end customer service workflows and identify the highest-value automation opportunities
- Design and configure conversational AI flows for voice interactions
- Integrate the voice agent with the client's existing systems (CRM, ERP, order management)
- Prototype, test, and iterate rapidly based on real-world call data
- Define and track key performance metrics including call containment, escalation rate, and customer satisfaction
- Deliver a phased rollout plan grounded in a deep understanding of the client's operations
- Present performance reports and business impact cases to senior leadership
- Build the internal case study that will underpin future enterprise deployments
Requirements
- 2+ years of software engineering experience, with exposure to systems integration, API development, or backend development
- Hands-on experience building or integrating software in a professional setting, including working with REST APIs, webhooks, or scripted workflows
- Experience working with large enterprise customers and navigating complex stakeholder environments
- Familiarity with CRM platforms such as Salesforce, Microsoft Dynamics, or SAP
- Experience with AI, automation, contact centres, or voice technology is a strong advantage — especially if you have worked with conversational AI platforms, LLM APIs, or voice agent tooling
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