Generative AI Consultant
Core
Design, build, train, fine-tune, and deploy sophisticated Generative AI/LLM solutions for diverse industries, acting as a bridge between technical teams and clients to deliver business-centric AI value.
Role type
Senior Generative AI Consultant (IC)
Builds
Production GenAI applications, RAG architectures, and agentic AI systems for enterprise clients
Domain
Management Consulting / Generative AI / Large Language Models
Deliverable
production ML models | product features
Required skills
Python, LLM fine-tuning, advanced prompt engineering, RAG implementation, vector embeddings, semantic search, MLOps, cloud platforms (AWS/Azure/GCP), NLP/NLU
Preferred skills
Agentic AI systems (LangGraph, AutoGen), vector databases, conversational AI, deep learning frameworks (PyTorch, TensorFlow), Model Context Protocol (MCP)
Technologies
LangChain, LlamaIndex, GPT-x, Claude, Gemini, Llama, Mistral, AWS, Azure, GCP, Docker, Git, MCP
Responsibilities
Design and implement Retrieval-Augmented Generation (RAG) architectures; Develop applications powered by GenAI models; Select and fine-tune appropriate models including multimodal and small language models; Implement MLOps best practices for the GenAI lifecycle; Develop rigorous evaluation frameworks for model performance, reliability, and safety; Distinguish between use cases suited for Generative AI versus traditional NLP applications
Seniority
Mid-Senior, hands-on IC