Fullstack Software Engineer (LLMxData Platform/US Co.)

Join us in revolutionizing how businesses interact with data! We're the Vietnam-based AI team of a $400M/year US healthcare company building a cutting-edge platform that augments Business Intelligence with Agentic AI. Imagine a chat interface that doesn't just fetch data, but allows users to interact with structured information intuitively, receive deep-dive analyses, and get actionable business suggestions – all powered by intelligent agents. Our ultimate vision is to replace traditional Data Analysis and BI with a smarter, more proactive AI-driven solution. If you're passionate about using LLMs to build the future of data analytics, this is your opportunity. Bonus: We provide a bonus to compensate candidates giving up a 13th month bonus leaving a job mid-year. Key Responsibilities Architect and Scale Core Systems: Lead the design, implementation, and optimization of highly scalable, fault-tolerant backend services and non-blocking APIs using Python (FastAPI) or Java (Vert.x, Quarkus). Ensure services handle high throughput with minimal latency. End-to-End Product Delivery: Drive the full lifecycle of product features—from requirements gathering and prototyping through testing, deployment, and iteration—working closely with product managers, UX designers, and DevOps. Champion Asynchronous Patterns: Build and maintain event-driven, asynchronous processing pipelines (e.g., message queues, pub/sub) to support real-time data ingestion, processing, and integrations. Performance & Reliability: Establish and enforce best practices for monitoring, observability, and automated testing. Identify bottlenecks and implement caching, connection pooling, backpressure, and rate-limiting strategies to sustain 99.9%+ uptime. Comprehensive Service Monitoring: Design, deploy, and maintain end-to-end observability solutions using Prometheus for metrics collection and Grafana for visualization and alerting. AI & RAG Applications: Architect Retrieval-Augmented Generation (RAG) solutions and intelligent agents that solve real-world problems—integrating vector stores, LLM APIs (e.g., OpenAI), and custom prompting frameworks. Mentorship & Collaboration: Provide technical leadership and mentorship to mid-level engineers, foster a culture of code quality, and collaborate across cross-functional teams to drive continuous improvement.