AI Engineer

Role Overview

We are looking for an 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.

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.

Requirements

• 4–8 years of professional experience.
• 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 (LangChain, LangGraph, CrewAI, AutoGen, etc.).
• Experience with PyTorch, TensorFlow, or Scikit-learn.
• Knowledge of Vector Databases (Pinecone, Qdrant, Chroma, Weaviate).
• Experience with REST APIs, Azure, or AWS.
• Minimum 4 years of Python experience and 3 years of Prompt engineering experience.

Skills

• Python
• LLMs
• LangChain
• PyTorch
• Vector Databases