AI Engineer

iLeaf Solutions Pvt Ltd; Ernakulam; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

iLeaf Solutions Pvt Ltd in India is seeking an AI Engineer to build intelligent, AI-driven enterprise solutions using LLMs and Agentic AI. You will customize and fine-tune transformer models, train ML models, and implement RAG pipelines to deliver scalable apps.

The role requires hands-on experience with Python, FastAPI, and ML frameworks, plus strong problem-solving and communication skills for cross-functional collaboration.

Qualifications

• Strong proficiency in Python and FastAPI.
• Hands-on experience with Transformer models (Hugging Face, BERT, Llama, etc.).
• Experience in customizing and fine-tuning pre-trained models.
• Experience with model training, evaluation, and model re-ranking.
• Strong understanding of LLMs, RAG, Prompt Engineering, and Agentic AI frameworks.
• Experience with PyTorch, TensorFlow, or Scikit-learn.
• Knowledge of Vector Databases (Pinecone, Qdrant, Chroma, Weaviate).
• Experience with REST APIs, Azure, or AWS.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and deploy AI-powered applications using LLMs and Agentic AI frameworks.
• Customize, fine-tune, and optimize pre-trained transformer models for domain-specific use cases.
• Build, train, evaluate, and optimize Machine Learning models.
• Develop Retrieval-Augmented Generation (RAG) pipelines and AI agents.
• Perform data cleaning, preprocessing, feature engineering, and model evaluation.
• Implement model re-ranking techniques to improve AI response quality and relevance.
• Integrate AI models with enterprise applications through APIs.
• Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions.

Skills

Python

FastAPI

LLMs

Agentic AI

Transformer models

RAG

Prompt Engineering

PyTorch/TensorFlow/Scikit-learn

Vector Databases

REST APIs

Azure/AWS

Communication skills

Tools

Hugging Face

BERT

Llama

Pinecone

Qdrant

Chroma

Weaviate

Job description

Experience: 4–8 Years

Job Summary

We are looking for a AI Engineer with strong expertise in Large Language Models (LLMs), Machine Learning, and Agentic AI to build intelligent, AI-driven enterprise solutions. The ideal candidate should have hands-on experience in customizing and fine-tuning transformer models, training machine learning models, implementing RAG pipelines, and integrating AI services into scalable applications.

Key Responsibilities

• Design, develop, and deploy AI-powered applications using LLMs and Agentic AI frameworks.
• Customize, fine-tune, and optimize pre-trained transformer models for domain-specific use cases.
• Build, train, evaluate, and optimize Machine Learning models.
• Develop Retrieval-Augmented Generation (RAG) pipelines and AI agents.
• Perform data cleaning, preprocessing, feature engineering, and model evaluation.
• Implement model re-ranking techniques to improve AI response quality and relevance.
• Integrate AI models with enterprise applications through APIs.
• Collaborate with cross-functional teams to deliver scalable, production-ready AI solutions.

Required Skills :

• Strong proficiency in Python and FastAPI.
• Hands-on experience with Transformer models (Hugging Face, BERT, Llama, etc.).
• Experience in customizing and fine-tuning pre-trained models.
• Experience with model training, evaluation, and model re-ranking.
• Strong understanding of LLMs, RAG, Prompt Engineering, and Agentic AI frameworks
• Experience with PyTorch, TensorFlow, or Scikit-learn.
• Knowledge of Vector Databases (Pinecone, Qdrant, Chroma, Weaviate).
• Experience with REST APIs, Azure, or AWS.
• Strong analytical, problem-solving, and communication skills

• USA

  701 Tillery Street Unit 12,
  2194 Austin,
  TX 78702. USA

• United Kingdom

  2 Westcott Street, TS183EQ,
  Stockton on Tees,
  Durham