GenAI Engineering Consultant

About the job

Hiring: GenAI Engineering Consultant (Freelance / Part-Time) We are looking for an experienced GenAI Engineering Consultant to work with us on a freelance or part-time basis and help architect and execute a complete GenAI business and technical roadmap. This role is ideal for someone who has hands-on experience building GenAI systems from scratch and has successfully taken AI products from concept to deployment. What We’re Looking For • Minimum 5+ years of experience in GenAI / LLM-based systems • Proven experience in building and deploying GenAI models from scratch • Strong understanding of LLM training pipelines • Deep experience in:Data collection & dataset structuringData annotation frameworksModel fine-tuning (SFT, RLHF, etc.)Prompt engineeringEvaluation frameworksModel optimization & deployment • Prior experience in a startup environment • Ability to design and execute end-to-end AI workflows Scope of Work The selected consultant will: Help define the GenAI business model strategy Design and build LLM-based models from scratch Establish data annotation and quality control guidelines Architect complete training pipelines (from dataset creation to fine-tuning) Define evaluation metrics and model improvement workflows Build an end-to-end GenAI workflow — from model creation to client-ready deployment Guide the team in setting up scalable GenAI infrastructure Tech Expectations Experience with: • Transformer architectures • Open-source LLMs (LLaMA, Mistral, etc.) • Fine-tuning frameworks • Vector databases • RAG systems • Model deployment pipelines • AI evaluation and alignment methodologies Engagement Type • Freelance / Part-Time • Flexible working arrangement • High-impact strategic role If you have successfully built GenAI systems from scratch and can guide a team through the full lifecycle — from model creation to client delivery — we would love to connect.

Requirements

• GenAI
• LLM-based systems
• Data Annotation
• Model Fine-tuning
• End-to-end AI Workflows

Qualifications

• 5+ years of experience in GenAI

Preferred Technologies

• GenAI
• LLM-based systems
• Data Annotation
• Model Fine-tuning
• End-to-end AI Workflows