Generative AI / LLM Engineer
Core
Design and build production-ready AI-powered products, conversational agents, and intelligent assistants using Large Language Models (LLMs) and vector databases.
Role type
Generative AI / LLM Engineer
Builds
AI chatbots, intelligent assistants, RAG pipelines, AI agent frameworks, and backend services for AI applications.
Domain
Generative AI, Large Language Models, Conversational AI
Deliverable
production ML models
Required skills
Python, Large Language Models (LLMs), RAG (Retrieval Augmented Generation), Vector Databases, Embeddings, AI Agent architectures, Prompt Engineering, Backend APIs, Cloud platforms
Preferred skills
Computer Vision, OCR, Diffusion Models, GANs, LLM-based dashboards, AI agent orchestration tools
Technologies
Python, GCP, Vector databases, Embedding models
Responsibilities
Design and develop AI-powered chatbots and conversational agents; Build memory architectures for AI systems; Develop RAG pipelines using vector databases; Implement AI agent frameworks to orchestrate prompt chains; Design intelligent systems for multi-step task automation; Build evaluation frameworks for AI models; Develop AI assistants for content generation and automation; Work with prompt engineering and model optimization; Develop backend services and APIs for AI applications; Build AI-driven dashboards for natural language querying.
Seniority
Mid-to-Senior, hands-on IC