About the job
About the Company
lavendo is revolutionizing the way small businesses manage customer communications with their innovative AI-driven voice system. This cutting-edge platform operates seamlessly to answer calls 24/7, schedule appointments, and manage customer inquiries automatically—eliminating the need for complex coding or setup. Founded by a team of seasoned entrepreneurs with extensive knowledge in AI and business operations, lavendo has created a solution that captures previously untapped revenue opportunities, with over 1,000 satisfied customers already experiencing the benefits. As the company expands its reach across various sectors including restaurants, dental practices, HVAC services, cleaning services, and call centers, they are on a mission to develop a category-defining product in a vastly underserved market.
The Opportunity
In the role of Solutions Implementation Engineer, you will take on a pivotal position where your contributions will directly influence the deployment and scaling of AI technologies within real-world business environments. Collaborating closely with the CTO and a senior engineering team, you will define integration architecture, delivery methodologies, and technical standards within this rapidly growing AI startup. This position allows you to blend advanced backend engineering skills with strategic, client-facing responsibilities, creating integrations that are essential to driving revenue operations and facilitating large-scale adoption of AI among major clients and partners.
What You'll Do
Assist the Enterprise Integrations team in overseeing and executing integration processes from initial design to final deployment.
Gather and clarify requirements from internal stakeholders, assess task complexity, and schedule delivery timelines.
Design and build reliable, scalable integration solutions using technologies such as Python, REST, gRPC, Apache Kafka, Redis, and SQL.
Conduct regular code reviews to ensure a consistent, high-quality codebase.
Adhere to delivery deadlines, ensuring that all solutions are production-ready and technically robust.
Monitor and stabilize integrations after deployment using observability tools like Grafana.
Proactively identify and address challenges to maintain project momentum, demonstrating a strong commitment to execution.
What You Bring
A minimum of 4 years of hands-on backend development experience.
A robust technical skill set including Python (FastAPI), REST, gRPC, SQL, Apache Kafka, Redis, and Postman.
Experience designing and implementing scalable, reliable integration solutions.

