Backend Engineer - AI Integration at Docplanner

We are seeking a talented Backend Engineer to help us architect and build the next iteration of our AI-powered products. You will drive the innovation of our AI integration and build modern, scalable, real-time architecture, unlocking new capabilities and performances, starting from our conversational AI products. You’ll collaborate closely with AI engineers, product managers, and the broader engineering team. Responsibilities • Architect, develop, and maintain scalable, robust backend services, starting from our voice and chat AI applications. • Experiment with new technologies to achieve real-time and seamless integrations, implementing POCs to try the latest trends in AI environment, partnering with AI/LLM engineers. • Integrate 3rd party API integration such as Twilio (voice), WhatsApp, ElevenLabs, OpenAI and others. • Implement real-time communication features (websockets, streaming), conversation architectures, and advanced voice capabilities. • Design, build, maintain, and improve multi-agent orchestration frameworks for AI-powered conversations. • Collaborate on CI/CD pipelines, ensure robust monitoring, logging, and operational support. • Write clear documentation and support knowledge transfer within the team.What to Expect in Your Journey With Us Your First Week: • Set up your development environment • Participate in onboarding sessions • Start exploring our product and familiarize yourself with the teamYour First Month: • Gain familiarity with our workflows and processes • Tackle and resolve support tickets • Develop, test, and deploy your first feature to production • Monitor the feature’s performance and impactAfter Three Months: • Achieve deep understanding of our AI system integration • Deliver three to five new features to production • Identify opportunities for product improvements and have some of your proposals scheduled for upcoming development cyclesAfter Six Months: • Collaborate closely with our AI/LLM engineering team • Research and assess integration of new frameworks and ideas into our architecture • Build and present proof of concepts (POCs) to demonstrate the potential impact of adopting this new technology