GenAI Engineer
Core
Design, build, and deploy intelligent AI agents to automate customer interactions across websites, WhatsApp, Instagram, and other digital touchpoints.
Role type
Individual contributor GenAI agent engineer
Builds
AI agents for customer engagement and lead conversion
Domain
Customer engagement, Generative AI
Deliverable
production ML models
Required skills
LLMs (OpenAI, Anthropic, open-source), Agent frameworks (LangChain, LlamaIndex, AutoGen), Prompt engineering, Conversational AI, NLP fundamentals (intent recognition, entity extraction), Python, LLM APIs, Git, Testing
Preferred skills
Fine-tuning LLMs, Multi-agent systems, RAG patterns, Vector databases (Pinecone, Weaviate), Evaluation frameworks
Technologies
LangChain, LlamaIndex, AutoGen, CrewAI, Haystack, OpenAI, Anthropic, Cohere, HuggingFace, Pinecone, Weaviate, Chroma, Qdrant
Responsibilities
Design and implement agent architectures and conversation flows, Build and fine-tune LLM-based agents, Implement prompt engineering strategies, Build conversation state management and memory systems, Implement multi-turn conversation logic and dialogue management, Design and implement agent tools and external API integrations
Seniority
Mid-level, hands-on IC