As our company continues to grow, an exciting opportunity awaits for a dynamic individual to join our R&D team as a Senior Full Stack Engineer. We are looking for a highly experienced Python developer to take end-to-end ownership of our entire stack. This role requires deep expertise in architecting scalable, modular, and distributed systems, a proven ability to craft modern frontend experiences, and a strong background in integrating AI-driven capabilities. The ideal candidate will be responsible for everything from data pipelines and architecture to user-facing features and the implementation of LLM-powered intelligence.
Responsibilities
Design, build, and scale backend services, APIs, MCPs, and data pipelines to support high performance, reliability, and growth
Architect and implement distributed, event-driven solutions using technologies like Kafka, RabbitMQ, or similar brokers.
Design robust systems and database models to ensure efficient data flow, maintainability, and support for AI-driven features across the stack.
Integrate Large Language Models (LLMs) into core systems, applying prompt engineering techniques to power intelligent, high-performance capabilities.
Build frontend features using modern frameworks and deliver intuitive, user-centric interfaces aligned with business and product goals.
Write clean, maintainable, and testable code with strong attention to quality, observability, and scalability.
Collaborate with product, design, and engineering teams to align technical solutions with business priorities.
Drive technical design discussions, mentor other developers, and contribute to overall architectural strategy.
Take ownership of development tasks from design and implementation through deployment, monitoring, and iteration.
Requirements: 5+ years of professional experience in designing, building, and scaling production-grade systems.
Deep backend & system architecture expertise, including scalable APIs, background jobs, data pipelines, database modeling (SQL/NoSQL), indexing, and performance tuning.
Solid experience building modern frontend applications using component-based frameworks (e.g., React, Vue) with strong UX thinking.
Proficiency in cloud-native & AI integration, including AWS/GCP/Azure, Kubernetes, and hands-on experience integrating LLMs (with knowledge of prompt engineering).
Strong engineering fundamentals & collaboration, with a grasp of algorithms and data trade-offs, a commitment to clean/testable code, and excellent communication skills.
This position is open to all candidates.