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Gen AI Engineering

Job in 110006, Delhi, Delhi, India
Listing for: Codefeast
Part Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
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 structuring
Data annotation frameworks
Model fine-tuning (SFT, RLHF, etc.)
Prompt engineering
Evaluation frameworks
Model 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.
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