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- 1일 전
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Role Overview
We seek a proficient AI Engineer with specialized skills in Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), LangGraph, Elastic Knowledge, and Python programming. The successful candidate will focus on designing, implementing, and deploying robust enterprise-level AI solutions based on Large Language Models (LLMs) and modern AI frameworks.
Primary Responsibilities
- Develop and design scalable generative AI applications using Python.
- Create and enhance RAG-based pipelines to improve knowledge retrieval processes.
- Build AI workflows and multi-agent systems leveraging LangGraph technology.
- Design and refine prompts and prompt templates tailored to diverse LLM scenarios.
- Integrate enterprise knowledge bases via Elastic Knowledge or Elasticsearch-based systems.
- Develop intelligent AI assistants, chatbots, and autonomous AI solutions.
- Interface LLMs with enterprise APIs, databases, and document storage systems.
- Enhance retrieval accuracy, context handling, and response quality.
- Implement vector and semantic search functionalities.
- Assess, fine-tune, and oversee LLM performance metrics.
- Collaborate with business teams to understand AI use cases and translate them into technical deployments.
- Adhere to principles of AI governance, security protocols, and ethical AI best practices.
Required Expertise
- Advanced proficiency in Python programming.
- Hands-on experience with LangGraph frameworks.
- In-depth understanding of Retrieval-Augmented Generation (RAG) methodologies.
- Competency in Prompt Engineering and methods to optimize prompts.
- Experience in developing applications utilizing Generative AI technologies.
- Familiarity with Elastic Knowledge or Elasticsearch for enterprise search capabilities.
- Exposure to LangChain ecosystem development.
- Integration experience with leading LLM providers such as OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar.
- Knowledge of vector database solutions including Pinecone, Chroma, FAISS, Weaviate, or Milvus.
- Experience creating AI agents and managing multi-step workflow systems.
- Strong grasp of RESTful API design and microservices architecture.
- Working knowledge of Git version control, Docker containers, and CI/CD processes.