Mô tả công việc
Tóm tắt công việc
AI Engineering & Orchestration:
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.
Backend Engineering:
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.
Health and Wellness
Premium health insurance
Safe, ethical, secure, and healthy workplace
Financial Well-Being
Competitive compensation package
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
Yêu cầu
Mandatory Skills:
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.
AI Specialization:
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).
Nice-to-have:
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).
Thông tin khác
AI (Artificial Intelligence)
Python
Java
Algorithm
Machine Learning
PostgreSQL
MySQL
OOP
MongoDB
Cassandra
Design Patterns
NoSQL
MS SQL
RabbitMQ
Docker
Redis
Architecture
MS Azure
OpenAI
Apache Kafka
Caching
AWS
ReactJS
Kubernetes
Microservices
GCP
RESTful API
gRPC
NLP
LLM
Claude
Llama
LangChain
LangGraph
CrewAI
AutoGen
Vector
Milvus
Phoenix
LangSmith
CI/CD
MLOps
Thông tin chung