About the job
About Lavendo
At Lavendo, we are revolutionizing the way small businesses manage customer interactions through our innovative AI-driven voice system. Our platform operates seamlessly, providing 24/7 call answering, appointment scheduling, and automated customer request handling without requiring any coding or complex setups. Founded by seasoned entrepreneurs with extensive expertise in AI and business operations, we have successfully developed a solution that captures lost revenue for businesses, with over 1,000 satisfied customers already experiencing a positive impact. As we expand our reach across various industries, including restaurants, dental practices, HVAC services, cleaning companies, and call centers, we are creating a category-defining product within a vast and underserved market.
Our Mission
Lavendo is dedicated to making enterprise-level AI accessible to every small business owner. Our goal is to empower these businesses to capture every customer, minimize manual tasks, and unlock substantial new revenue streams without the complexity or friction often associated with technology. We strive to enable every business, no matter the size, to operate with the efficiency and capabilities of a large enterprise.
The Role
As a Solutions Integration Engineer, you will take on a high-impact role that allows you to directly influence the deployment and scaling of AI technology in real-world business settings. Collaborating closely with our CTO and a senior engineering team, you will define the integration architecture, delivery strategies, and technical standards for our growing AI startup. This position offers a unique opportunity to blend deep backend engineering expertise with strategic stakeholder engagement, crafting integrations that are pivotal to our customers’ revenue streams and facilitating the large-scale adoption of AI solutions by major accounts and partners.
Key Responsibilities
Lead the end-to-end delivery of integration projects, from initial scoping and design through development, testing, and deployment, ensuring all solutions align with business needs and meet production-ready standards.
Work alongside the Lead Engineer to oversee the integration lifecycle: defining requirements, structuring and assigning tasks, monitoring progress, and ensuring timely delivery.
Design and document integration solutions utilizing technologies such as Python, REST, gRPC, Kafka, Redis, Postman, and SQL, supported by UML, DFD, ERD, and BRD documentation.
Manage daily project operations by planning sprints, tracking progress, resolving obstacles, and maintaining delivery momentum.
Collaborate with stakeholders to align goals, manage project scope, and prevent deviations from established priorities.
Champion Agile/Scrum methodologies to enhance team efficiency and project outcomes.

