Agent & Context Engineer
10 hours ago
Responsibilities
1.Define and build LLM-powered agent systems for intelligent task orchestration and context-aware interaction.
2.Design prompt strategies and dynamic context assembly for seamless multi-turn dialogue.
3.Develop and maintain MCP-based services to enable secure, standardized access to tools and external resources.
4.Leverage the OpenAI Agents SDK to construct scalable orchestration workflows with coordinated execution, graceful shutdown, and fault resilience.
5.Lead API design, CI/CD pipelines, and observability infrastructure to guarantee system reliability and performance.
Requirements
1.Expert-level proficiency in Python with demonstrated system design and backend development skills.
2.Familiarity with LLMs (e.g., GPT, Claude, LLaMA, Gemma) and multimodal models;
experienced in prompt engineering and context orchestration.
3.Proven experience or deep understanding of multi-agent orchestration, emphasizing task handover, agent collaboration, and shared context strategies.
4.Practical knowledge of MCP architecture and JSON-RPC integration.
5.Skilled in containerized microservices deployment (Docker, Kubernetes) and CI/CD automation.
6.Strong ability to interpret English technical documentation and swiftly implement emerging community standards.
Preferred Qualifications
1.Experience architecting MCP-based agent ecosystems with robust inter-agent coordination and governance.
2.Track record optimizing high-throughput, low-latency agent systems in production environments.
3.Systematic experience enhancing long-context handling, prompt caching, and context efficiency.
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