高级生成式AI工程师
Senior Generative AI Engineer
Senior Generative AI Engineer
Background
我们正在寻找一位高级生成式AI工程师，负责设计、构建和交付具有业务价值的生产级生成式AI和代理式AI应用。该职位专注于大规模构建AI应用和服务。您将负责构建稳健、安全且高度可扩展的系统，并与领先的基于云的AI服务集成。
您将作为独立贡献者，与产品经理、设计师和其他工程师合作。您需要对功能从头到尾负责，并交付高质量、可重用的代码，使其超越单一用例。
Key Responsibilities
Software Engineering and Execution
- 设计、构建并交付生产级生成式和代理式AI功能和应用
- 从技术设计到实现、测试、部署和运营，全程负责功能的端到端开发
- 构建可重用、抽象良好的组件和共享工具（例如RAG构建模块、代理框架、评估工具、提示工具），以加快未来生成式和代理式AI产品的交付
- 使用LangChain、LangGraph、Claude Agent SDK和Google ADK等框架构建多代理系统
- 集成领先的LLM和基础模型API，包括Azure OpenAI、Google Vertex AI和AWS Bedrock
- 构建检索增强生成（RAG）流程，包括文档摄入、分块策略、嵌入、向量搜索和重新排序
- 构建干净、经过充分测试的RESTful和/或gRPC API，重点关注可靠性、安全性和性能
- 为生成式和代理式AI应用实现可观测性、追踪、评估和防护机制
- 在主要云提供商（如GCP、AWS和Azure）上部署和运营服务，利用托管服务
- 积极参与代码审查和设计讨论，与同事分享知识
Required Qualifications
- 5-7年专业软件工程经验，至少3年构建AI/ML软件产品的经验
- 计算机科学或相关领域的学士学位（硕士学历优先）
- 精通Python，具备扎实的软件工程基础（抽象、模块化、系统设计、测试、性能）
- 有构建和交付生成式和代理式AI应用的实际经验，包括LLM集成、提示工程和/或代理工作流
- 实践经验
查看英文原文
Senior Generative AI Engineer
Background
We are looking for a Senior Generative AI Engineer to design, build, and ship production-grade Generative AI and Agentic AI applications that delivery business value across the organization. This role is focused on building AI applications and services at scale. You will be responsible for building robust, secure, and highly scalable systems that integrate with leading cloud-based AI services.
You will work alongside product managers, designers, and other engineers as an individual contributor. You are expected to own features end-to-end, and to deliver high-quality, reusable code that scales beyond a single use case.
Key Responsibilities
Software Engineering and Execution
- Design, build, and ship production-grade Generative and Agentic AI features and applications
- Own features end-to-end from technical design through implementation, testing, deployment and operation
- Build reusable, well-abstracted components and shared utilities (e.g., RAG building blocks, agent scaffolding, evaluation harnesses, prompt utilities) to enable faster delivery of future Generative and Agentic AI products
- Build multi-agent systems using frameworks such as LangChain, LangGraph, Claude Agent SDK and Google ADK
- Integrate with leading LLM and foundation model APIs, including Azure OpenAI, Google Vertex AI, and AWS Bedrock
- Build Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, embeddings, vector search, and re-ranking
- Build clean, well-tested RESTful and/or gRPC APIs with a focus on reliability, security, and performance
- Implement observability, tracing, evaluation, guardrails for Generative and Agentic AI applications
- Deploy and operate services on major cloud providers (e.g., GCP, AWS, and Azure) leveraging managed services
- Participate actively in code reviews and design discussions, sharing knowledge with peers
Required Qualifications
- 5-7 years of professional software engineering experience with at least 3 years of experience building AI/ML software products
- Bachelor's degree in Computer Science or a related field (Master's degree preferred)
- Strong proficiency in Python, with deep software engineering fundamentals (abstraction, modularity, system design, testing, performance)
- Hands-on experience building and shipping Generative and Agentic AI applications, including LLM integration, prompt engineering, and/or agentic workflows
- Practical experience integrating cloud-hosted LLM APIs such as Azure OpenAI, Vertex AI, and/or AWS Bedrock
- Experience with agent frameworks (e.g., LangChain, LangGraph, Google ADK, Claude Agent SDK) and vector databases (e.g., Pinecone, Weaviate, pgvector, Open Search, AlloyDB)
- Hands-on experience with Google Cloud Platform (GCP), Amazon Web Services (AWS), or Azure
- Solid understanding of API design, distributed systems, and cloud-native architecture
- Track record of taking systems from design through production deployment and operation
Preferred Qualifications
- Experience with containerization and orchestration (Docker, Kubernetes)
- Knowledge of Generative AI Risk Management frameworks (NIST RFM)
- Experience supporting developer platforms or internal tooling
Originally posted on Himalayas