AI Engineer (Agentic Systems & Backend)

Top 3 reasons to join us

• Full Social Insurance, Premium Insurance
• Budget For Learning & Training Course
• Flexible working time, Full salary in probation

Job description

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.

Your skills and experience

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).

Why you'll love working here

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