AI Engineer (LLM, Machine Learning & Data Engineering)

Experience: 4–8 Years
Location: Kochi (Onsite)

Job Summary

We are looking for a AI Engineer with solid 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 (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.
- Strong analytical, problem-solving, and communication skills.

Job Type: Full-time

Pay: ₹40,000.00 - ₹80,000.00 per month

Experience:

- Python: 4 years (Required)
- Prompt engineering: 3 years (Required)

Work Location: In person

📌 AI Engineer (India)
🏢 iLeaf Solutions
📍 India