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Middle AI Engineer (Machine Learning, LLM, Python)

GON TECH
Số 669 Điện Biên Phủ, Phường Thạnh Mỹ Tây, TP Hồ Chí Minh
Tại văn phòng
Đăng 6 giờ trước
Lĩnh vực:
Dịch Vụ và Tư Vấn IT

3 Lý do để gia nhập công ty

  • Grow and advance into higher-level roles
  • A creative and innovative work culture
  • Competitive pay and great benefits

Mô tả công việc

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.

Yêu cầu công việc

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 FastAPIRedis 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.

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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.

GON TECH

Mô hình công ty
Thuê ngoài
Lĩnh vực công ty
Dịch Vụ và Tư Vấn IT
Quy mô công ty
51-150 nhân viên
Quốc gia
Vietnam
Thời gian làm việc
Thứ 2 - Thứ 6
Làm việc ngoài giờ
Không có OT

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