- Strong proficiency in Python, with hands-on experience building production-grade software (not just notebooks/prototypes).
- Practical experience with agentic frameworks such as LangChain, LangGraph, or similar.
- Solid understanding of LLM fundamentals — prompting, tool/function calling, RAG, embeddings, context management, memory systems.
- Experience designing modular, platform-agnostic architectures (i.e., not tightly coupled to a single LLM vendor or cloud provider).
- Understanding of SDLC processes (CI/CD, version control, code review, testing) and how AI agents can augment or automate them.
- Experience with API design, microservices, and building extensible/reusable frameworks or SDKs.
- Familiarity with agent evaluation and observability tooling (e.g., LangSmith, tracing frameworks, custom eval harnesses).
- Strong grasp of governance concepts for AI systems — guardrails, access control, auditability, human oversight.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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