Agent开发(口语要求不严格 稳定大外企 WLB)35k-65k
四川本科及以上1-3年PythonAgent
Principal responsibilities
• GenAI Agent platform engineering: design and develop the agent runtime, orchestration, tool/function calling, prompt and workflow management, memory/state handling, and integration patterns—leveraging frameworks such as LangChain/LangGraph (where appropriate) while avoiding unnecessary vendor/framework lock-in.
• Continuously monitor and optimise platform performance in production, including model selection, prompt/agent tuning, retrieval quality, caching, throughput, and resilience; drive root-cause analysis and preventative improvements.
• Embed security, privacy and compliance by design & development: ensure controls for data handling, access management, encryption, auditability, model risk considerations, and safe tool use; align to internal governance and relevant regulatory expectations.
• Maintain platform documentation and enablement: publish reference design, APIs/SDKs, templates, testing, and developer guidance to accelerate adoption and consistent delivery across teams.
• Track and evaluate emerging GenAI/agent capabilities (e.g., new orchestration patterns, evaluation methods, safety techniques, model/tooling advances) and translate them into pragmatic platform enhancements with clear value, risk and cost trade-offs.
Requirements
• Education & English: Bachelor’s degree or above in Computer Science/Engineering (or related);
• Software Engineering: 2+ years’ handon coding practice, strong Python or Java or Golang, with usage of at least one major cloud (AWS/Azure/GCP); ability to deploy and operate services in production (Docker/Kubernetes preferred).
• Demonstrates an AI-native mindset by applying AI-driven approaches, including coding assistants, to improve productivity, quality, and engineering best practices
• GenAI / LLM Delivery: knowledge with any one in GenAI, LLMs, MCP, RAG agentic workflows, tool/function calling will be a plus