AI 工程师负责人
Lead AI Engineer
关于Egen：
Egen是一家快速成长且具有创业精神的公司，以数据为先的理念为核心。我们汇聚了最优秀的工程人才，结合最先进的技术平台，包括Google Cloud和Salesforce，帮助客户通过数据和洞察力推动行动和影响。我们致力于成为优秀人才选择工作的场所，让他们能够运用自己的工程和技术专长，构想数据和平台如何更好地改变世界。我们专注于学习，乐于解决复杂问题，并不断创新以实现快速、有效的成果。如果这符合你，我们希望你加入我们的团队。
想了解更多关于Egen的工作生活？除了职位描述外，还可以查看以下资源。
了解Egen
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Egen的文化与价值观
Egen的职业发展
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关于这个机会：
作为首席AI工程师，你将处于我们生成式AI项目的核心位置。我们将AI视为软件工程学科。你将负责AI功能的全生命周期——特别是文档智能和RAG管道，从最初的原型开发到稳健、可扩展的生产服务。你需要解决现实世界的约束，如延迟、错误处理和成本优化。
你将与各种各样的客户合作，将业务需求转化为高性能的AI架构。这个职位需要在LLM方面有深厚的技术专长，并采用严谨的软件工程方法，以确保我们的解决方案稳健、符合伦理且可扩展。
你将负责：
- 架构与构建：使用Python、LangChain和LlamaIndex在Google Cloud上设计和实现端到端的GenAI应用
- 精准工程：使用Google Cloud Vector Search或Pinecone开发先进的RAG（检索增强生成）管道和语义搜索系统
- 优化模型：领导LLM和嵌入模型的微调工作，以提升特定领域的性能
- 代理操作：构建和管理自动化复杂多步骤推理任务的代理工作流
- 协作与创新：直接与客户合作，理解需求，提出新功能，并实施最先进的AI技术
- 生产化：应用MLOps最佳实践，确保模型高效部署、监控并持续改进
你的技术工具包：
- 核心语言：精通Python和shell脚本
查看英文原文
About Egen:
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
Meet Egen
Life at Egen
Culture and Values at Egen
Career Development at Egen
Benefits at Egen
About the opportunity:
As a Lead AI Engineer, you will be at the forefront of our Generative AI initiatives. We treat AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features—specifically document intelligence and RAG pipelines—taking them from initial prototype to robust, scalable production services. You will solve for real-world constraints like latency, error handling, and cost optimization.
You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.
What You Will Do:
- Architect & Build: Design and implement end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud
- Engineer for Precision: Develop advanced RAG (Retrieval-Augmented Generation) pipelines and Semantic Search systems using Google Cloud Vector Search or Pinecone
- Optimize Models: Lead efforts in LLM and Embedding fine-tuning to improve domain-specific performance
- Agentic Ops: Build and manage agentic workflows that automate complex multi-step reasoning tasks
- Collaborate & Innovate: Work directly with customers to understand requirements, suggest novel features, and implement state-of-the-art AI techniques
- Productionize: Apply MLOps best practices to ensure models are served efficiently, monitored, and continuously improved
Your Technical Toolkit:
- Core Languages: Mastery of Python and shell scripting
- AI/LLM Ecosystem: Extensive experience with Google Gemini, GPT-4, or LLaMA; deep knowledge of Prompt Engineering and Fine-tuning
- Data & Search: Expertise in Vector Databases (Vertex AI Vector Search, pgvector, etc.) and implementing Semantic Search
- Infrastructure: Hands-on experience with Google Cloud (Vertex AI) and building scalable software architectures
- Frameworks: Proficiency in LangChain, LlamaIndex, or similar orchestration layers
- Mindset: A strong software engineering foundation—you write clean, maintainable code and understand the full SDLC
Basic Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
- 8+ years of experience in AI/ML
- Proven track record of deploying GenAI products to a production environment
- Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus
- Knowledge of Data Engineering and SQL
Personal Attributes:
- Ownership: You take pride in your code and see projects through from concept to deployment
- Curiosity: The AI landscape changes weekly; you are a lifelong learner who stays ahead of the curve
Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value
Ethics: You prioritize responsible AI development and data privacy
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:
- Comprehensive Health Insurance
- Paid Leave (Vacation/PTO)
- Paid Holidays
- Sick Leave
- Parental Leave
- Bereavement Leave
- 401 (k) Employer Match
- Employee Referral Bonuses
Check out our complete list of benefits here - >
Important:All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Originally posted on Himalayas