Generative AI Engineer

Job Overview

We are seeking a highly skilled Generative AI Engineer (or AI Solution Leader) to join our advanced technology division. The ideal candidate will have hands-on experience in LLM (Large Language Model)-based system development, Retrieval-Augmented Generation (RAG) architectures, and AI conversational agent implementation.

This position plays a crucial role in designing, prototyping, and leading the implementation of cutting-edge AI solutions that leverage knowledge graphs, vector databases, and natural language understanding to build intelligent, scalable enterprise systems.

Responsibility

Design and Develop Generative AI Systems

• Build and optimize RAG architectures integrating LLMs with structured/unstructured data sources.
• Develop knowledge graph-based information retrieval systems and implement vector search solutions (e.g., FAISS, Milvus, Pinecone, VertexAI Vector Search).

Research & Architecture

• Research state-of-the-art models (e.g., GPT, Claude, Gemini, Llama) and integrate them into enterprise use cases.
• Define the AI system architecture from data ingestion to inference and evaluation.

AI Conversational Agent Development

• Design and implement intelligent chatbots capable of contextual understanding and domain-specific reasoning.
• Integrate conversational flows with backend systems and APIs.

Project Leadership

• Collaborate with clients and internal teams to define user requirements and translate them into technical design specifications.
• Lead a small AI team (2–5 engineers) to execute design, implementation, and testing phases.
• Ensure technical quality, scalability, and performance of AI-driven applications.

Collaboration & Communication

• Work closely with product managers, data engineers, and backend/frontend teams.
• Contribute to proposal creation and proof-of-concept (PoC) activities for client projects.

Qualifications

Core Skills

• Hands-on experience with LLMs and RAG system design.
• Proficiency in Python and frameworks such as LangChain, LlamaIndex, Transformers (Hugging Face), or VertexAI SDK.
• Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, Chroma).
• Understanding of knowledge graph design and semantic search.
• Experience building AI chatbots or conversational systems (Dialogflow, Rasa, custom LLM pipelines).

Preferred Experience

• Familiarity with cloud AI platforms (Google VertexAI, Azure OpenAI, AWS Bedrock).
• Experience with MLOps, prompt engineering, or model fine-tuning.
• Practical experience deploying LLM applications in production environments.

Soft Skills

• Strong analytical thinking and research capability.
• Ability to design and lead technical projects independently.