Related skills
java python rag langchain langgraph📋 Description
- Lead overall AI Agent platform architecture and orchestration.
- Implement AI Native capabilities in engineering workflows.
- Build knowledge augmentation layer with RAG and graphs.
- Establish runtime and governance for AI Agents.
- Collaborate with product, engineering, QA, and operations to standardize and scale platform.
🎯 Requirements
- Bachelor's degree or above in CS, SE, AI, or related field.
- 8+ years in backend, platform, or infrastructure with system design.
- Proficient in Java and Python; strong coding and architectural skills.
- Strong understanding of LLM and AI Agent architectures; task decomposition and tools.
- Hands-on with LangChain and LangGraph; familiarity with Claude Code, Codex, Cursor, Copilot.
- Experience designing enterprise AI/RAG/knowledge-graph solutions; open-source agent projects like openclaw or hermes.
🎁 Benefits
- Competitive total compensation
- L&D programs and education subsidy
- Team-building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare for employees and dependents
- More details shared during process
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