Mid-Level AI Engineer

Top 3 Reasons To Join Us Grow and advance into higher-level roles A creative and innovative work culture Competitive pay and great benefits The Job We are seeking a skilled and driven Mid-Level AI Engineer to join our AI Assistant Platform team. In this role, you will contribute to the design, development, and deployment of advanced AI systems that power next-generation intelligent features, autonomous agent services, and AI co-working capabilities. You will work alongside platform engineers, data scientists, and cloud architects to transform cutting-edge AI systems into scalable, reliable production services and deeply integrated into our core applications. Key Responsibilities Develop & Deploy Core AI Capabilities: Build scalable, production-ready services utilizing LLMs, Agentic workflows, RAG, and Model Context Protocol (MCP). Implement Observability: Design and maintain monitoring and evaluation services to supervise production models, ensuring system reliability, performance, and uptime. Backend Integration: Partner closely with platform and backend engineers to seamlessly integrate AI features and agentic workflows into the core AI Assistant platform. Optimize Infrastructure: Scale and optimize Agent infrastructure across distributed cloud environments (AWS, GCP, or Azure) to support high-throughput, low-latency inference. Lifecycle Management: Manage the end-to-end deployment lifecycle of AI services, bridging the gap between initial experimentation and robust production environments (LLMOps/MLOps). Security & Compliance: Enforce security protocols, data privacy measures, and performance best practices across all AI applications and data pipelines. Your Skills and Experience Required Skills & Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Computer/Electrical Engineering, Data Science, or a related quantitative field. Experience: 2+ years of professional experience in software engineering, AI/ML engineering, or data science with a strong, demonstrable focus on production AI. Core AI Expertise: Deep understanding of Large Language Models (LLMs), RAG techniques, Prompt Engineering, and OCR pipelines. Backend development: 2+ years of Python experience, experience with FastAPI , Redis caching. Well understanding of database design and optimization. DevOps Fundamentals: Hands-on experience with containerization using Docker . Preferred Qualifications Agentic Systems: Direct experience building and orchestrating complex autonomous agents or Multi-Agent systems (e.g., LangChain, LangGraph). Advanced RAG: Practical experience working with Vector Databases and hybrid search optimization. High-Throughput Design: Experience designing systems to handle high Concurrent Users (CCU) and heavy traffic loads. Orchestration & Cloud: Knowledge of container orchestration tools like Kubernetes and cloud AI deployment tools (e.g., AWS SageMaker, GCP Vertex AI, or Azure AI). Mindset & Engineering Culture (Good to Have) End-to-End System Design: Experience working with full-lifecycle backend systems, including handling API gateways, custom routing, and real-time streaming responses . High Ownership & Rigor: A strong sense of accountability and a commitment to thorough unit testing/self-testing before delivering code to production. Continuous Growth: A passionate self-learner who proactively keeps pace with the rapidly evolving AI landscape. Agile Mindset: Ability to thrive cross-functionally in fast-paced, Agile R&D environments and adapt quickly to emerging AI technologies. Why You'll Love Working Here Why Join Us Shape the Future of AI: Play a pivotal role in building the core AI models, agentic services, and infrastructure for a next-generation AI Assistant Platform. Work with Cutting-Edge Tech: Collaborate with a world-class team of AI researchers, data scientists, and platform engineers on the absolute frontier of AI engineering (LLMs, Multi-Agent systems, MCP). Impact at Scale: Contribute to a highly scalable, enterprise-grade architecture that powers real-time, intelligent AI experiences across industries. Culture of Innovation: Thrive in an environment that values continuous learning, high ownership, and the freedom to experiment with emerging AI technologies. What We Offer 💰 Competitive salary & performance-based bonus + 13th-month salary + holiday/Tết bonuses. 🏥 Healthcare Insurance . 💻 Modern equipment (MacBook, iPhone). 🎯 Team building, Happy Hours, dynamic and young work environment. 📚 Clear career path with opportunities for professional development.