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AI Engineer Agentic Systems Backend
Smilegate Vietnam · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Quận Bình Thạnh, Hồ Chí Minh, Hồ Chí Minh
Tổng quan
- Agentic Systems: Design and deploy autonomous AI Agents, building complex workflows including planning, multi-step reasoning, and tool-use/function calling.
- Data & Retrieval: Build and optimize RAG (Retrieval-Augmented Generation) systems using vector databases and embeddings to provide accurate context for LLMs.
- AIOps: Establish evaluation pipelines to measure AI quality, minimize hallucinations, and control bias.
- Resource Optimization: Monitor and optimize latency, token throughput, and operational costs for AI systems.
- AI Integration: Package AI features into stable APIs for seamless integration into the existing Microservices ecosystem.
- Core Systems: Design, develop, and manage high-performance backend services, ensuring stability and scalability in production.
- Feature Development: Maintain existing systems and proactively develop new functionalities based on business requirements.
- International Collaboration: Work closely with the Korean tech team and stakeholders to align on architectural solutions and application deployment.
- Code Quality: Apply standard coding practices, ensuring high unit test coverage and optimized debugging processes.
- Technology Research: Proactively research new technologies, specifically AI infrastructure solutions, to apply to company projects.
- Experience: 4–6 years of professional experience, including 1–2 years in backend software development and 3–4 years in AI Engineering. Strong proficiency in Python or Java is required. Candidates with hands-on experience in both languages are preferred, using Python for AI/Data applications and Java for core backend services.
- Architecture: Deep understanding of Microservices, RESTful APIs, and gRPC.
- Data: Experience with SQL (PostgreSQL, MySQL) or NoSQL (MongoDB, Cassandra).
- Fundamentals: Mastery of data structures, algorithms, OOP, and common design patterns.
- LLM Production: Proven experience implementing features using OpenAI, Claude, or open-source models (Llama, Mistral) in production.
- Frameworks: Proficiency in AI orchestration libraries: LangChain, LangGraph, CrewAI, or AutoGen.
- Vector Infrastructure: Experience with Vector Databases such as Milvus, Pinecone, Qdrant, or pgvector.
- Agentic Skills: Solid understanding of Function Calling, Memory management (Long-term/Short-term), and advanced Prompt Engineering (Chain-of-Thought, ReAct).
- AI Quality: Knowledge of evaluation frameworks (e.g., Ragas, Arize Phoenix, or LangSmith).
- Experience with high-traffic systems and asynchronous processing.
- Proficiency in Docker, Kubernetes, and Cloud platforms (AWS/GCP/Azure).
- Experience with Redis (Caching) and Message Brokers (Kafka or RabbitMQ).
- Understanding of CI/CD for AI (MLOps).
- Premium health insurance
- Safe, ethical, secure, and healthy workplace
Quyền lợi
- Annual bonus program
- Personal Development
- Budget for individual learning & development
- Work-life balance
- 14 days of paid annual leave, increasing by 1 day each year
- Flexible working timeframe
- Workplace experiences
- Modern working equipment
- Well-stocked pantry to relax and recharge.
- Engagement activities (monthly team bonding, yearly company trip…)
- Sponsored sports clubs
- Business trip opportunities to the Korean Headquarters
Chế độ thưởngCổ phần / ESOP
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