
Jr AI Engineer
发布于 1 天前普通员工/个人贡献者
AI 估算 · 8k–15k
Junior AI engineer role in a multinational company in Cairo, with competitive tech stack.
职位详情
关于这个职位
As a Junior AI Engineer at Henkel in Cairo, you will design and build agentic LLM applications and RAG pipelines, integrating AI into enterprise systems while collaborating with cross-functional teams. This role offers hands-on experience with cutting-edge AI technologies in a global company.
最低要求
Bachelor's degree in Computer Science. 1-2 years of relevant work experience. Fluent English speaker with excellent communication skills. Proficiency in agent frameworks (LangGraph/LangChain) and tool/function-calling. Experience with async API development (FastAPI), Pydantic-style validation, modern Python tooling (uv). Knowledge of infrastructure as code (Terraform) and CI/CD-based deployment. Understanding of Machine Learning & Deep Learning, Python, SQL, APIs. Familiarity with LLMs, Prompt Engineering, RAG architecture. Experience with cloud platforms (Azure). Strong problem-solving and stakeholder communication skills.
工作职责
Build agentic LLM applications (tool-calling, routing, multi-step orchestration) and RAG pipelines over enterprise documents and data. Define evaluation criteria (accuracy, groundedness, cost, latency) before building AI features and iterate against them. Integrate AI into business interfaces (Teams/chat/voice) and enterprise data platforms (SQL warehouse, NL-to-SQL, BI). Develop scalable AI pipelines and integrate models into enterprise systems. Evaluate AI use cases, model performance, accuracy, and business impact. Collaborate with business, data, and technology teams to identify AI opportunities. Implement responsible AI, governance, security, and monitoring practices. Optimize AI solutions for scalability, reliability, and operational efficiency. Stay updated on emerging AI technologies and industry trends. Works closely with business stakeholders, data & analytics teams, enterprise architecture, digital transformation teams, IT & security.
优先资格
Microsoft Teams bot / conversational-AI development (Bot Framework / Teams AI SDK). MCP (Model Context Protocol) or similar tool-server architectures for multi-agent systems. SAP BTP (developer). Git.
AI 洞察
优缺点分析
优点
- Work with state-of-the-art LLM and agentic AI technologies in a global company.
- Gain hands-on experience with full AI lifecycle from evaluation to deployment.
- Flexible hybrid work model and comprehensive benefits (health insurance, parental leave).
- Requires staying updated with rapidly evolving AI tools and frameworks.
- Need to balance multiple stakeholders and integrate AI into legacy systems.
- AI enthusiasts with 1-2 years experience who enjoy building production-grade AI solutions and collaborating across teams.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to Senior AI Engineer or AI Architect as you deepen expertise in LLM and enterprise AI.
- Move into AI product management or technical leadership roles within Henkel's digital transformation.
- Specialize in emerging areas like multi-agent systems, MCP, or conversational AI.
- Design and build agentic LLM applications with tool-calling and multi-step orchestration.
- Develop RAG pipelines for enterprise documents and data, integrating AI into Teams/chat/voice interfaces.
- Collaborate with business and data teams to evaluate AI use cases and optimize solutions for scalability.
- Implement responsible AI practices and monitor model performance.
- Proficiency in LangChain/LangGraph for agent frameworks and FastAPI for async API development.
- Solid understanding of LLMs, prompt engineering, RAG architecture, and cloud platforms like Azure.
- Experience with infrastructure as code (Terraform) and CI/CD pipelines.
- Strong problem-solving and communication skills for stakeholder collaboration.
申请策略
- Demonstrate curiosity about AI trends and responsible AI practices.
- Tailor your cover letter to Henkel's digital transformation focus.
- Emphasize projects using LangChain/LangGraph, RAG, and FastAPI.
- Showcase any experience with Azure or cloud AI services.
- Highlight communication and cross-functional collaboration examples.
- Deepen knowledge of prompt engineering and LLM evaluation techniques.
- Explore conversational AI frameworks like Bot Framework or Teams AI SDK.
- Practice deploying AI models with CI/CD and infrastructure as code.
面试指南
- Use the STAR method for behavioral questions: Situation, Task, Action, Result.
- For technical questions, explain your approach step-by-step and justify choices with evaluation criteria.
- How would you design a RAG pipeline for enterprise document Q&A?
- Explain how you would evaluate the accuracy and latency of an LLM application.
- Describe a time you collaborated with business stakeholders to define an AI use case.
- How do you ensure responsible AI and governance in your projects?
- What is your experience with agentic workflows and tool-calling?
- Review LangGraph, FastAPI, and Azure AI documentation.
职位点评
Cutting-edge AI role in a global company with strong growth potential and flexible work, but limited mission-driven purpose.
从薪资福利、成长空间、工作节奏和岗位方向综合评估,方便横向比较。
薪资福利
Henkel offers competitive benefits including health insurance, parental leave, and flexible work, but salary details are not disclosed in the JD. The compensation is likely market-competitive for a multinational in Cairo.
成长发展
The role provides exposure to cutting-edge AI technologies like LLMs, RAG, and agentic frameworks, with opportunities for growth in a global company. The JD emphasizes staying updated on emerging AI trends.
工作生活
Henkel offers flexible work hours, hybrid model, and work from anywhere for up to 30 days per year. The office is likely in Cairo city center, but no specific location details provided.
使命价值
Henkel is a chemical and consumer goods company; the AI role contributes to digital transformation, which has moderate social impact. The JD does not emphasize strong mission or societal benefit.
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