Lead Software Engineer, Backend (Java/Python & AI/LLM)

About the job

Job Title and Summary Lead Software Engineer, Backend (Java/Python & AI/LLM) What you'll do • Lead backend services for AI features: Build and maintain backend components and APIs for generative AI use cases. Create scalable microservices in Java or Python to expose AI capabilities, handle requests, and integrate model outputs into applications. • Integrate generative AI technologies: Work with data science and ML teams to productionize models and connect them to the platform. Build service interfaces, manage data formats, integrate external APIs, and implement supporting data flows such as caching or context retrieval. • Ensure quality, performance, and security: Own service quality by writing tests, profiling performance, and resolving bottlenecks. Set up monitoring and alerts, improve logging, and diagnose production issues to ensure uptime and stability. Maintain code quality through reviews and enforce security and performance best practices. • Collaborate cross‑functionally: Work in an agile team with product, design, and data science. Participate in design discussions, refine requirements, and iterate quickly based on feedback. Help shape technical decisions for AI‑powered features. • Mentor and uphold best practices: Guide junior engineers through code reviews and knowledge sharing. Promote clean coding, maintainability, testing discipline, and improvements to tools and processes. What you'll bring • Strong backend engineering experience: 8–12+ years building backend systems and APIs. Experience with Java (Spring Boot) or Python and familiarity with scalable, thread‑safe server‑side development. • Experience with AI/ML integration: Hands‑on exposure to AI APIs or machine learning services. Comfortable integrating pre‑trained models, calling inference APIs, handling asynchronous tasks, and building reliable ML service endpoints. • API and database proficiency: Skilled in designing RESTful APIs, managing authentication, and structuring data. Strong SQL knowledge and experience with relational and NoSQL databases, caching, and data‑intensive flows. • Quality‑focused and detail‑oriented: Strong testing habits, including unit and integration tests. Familiar with error handling, logging, edge cases, and building resilient AI‑related services. • Architectural leadership: Background designing modular, scalable backend systems. Experience promoting clean structure, reusable components, and documentation. • Strong communication and collaboration: Able to work with distributed teams and communicate clearly with technical and non-technical stakeholders. • Continuous learning: Comfortable working with ambiguity and exploring new technologies. Motivated to build prototypes and evolve solutions quickly.