AI Engineer

Art Technology and Software; Ernakulam; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Art Technology and Software in Kochi is seeking an AI Engineer with 2–5 years experience to design and deploy AI-driven enterprise solutions using LLMs and Agentic AI.

You will tailor transformer models, build RAG pipelines, and integrate AI services with scalable apps, collaborating across teams to deliver production-ready systems.

Strong Python, FastAPI, ML frameworks, and cloud experience are required, with hands-on work in vector databases and REST APIs.

Qualifications

• Hands-on experience with LLMs, RAG, and prompt engineering.
• Proficiency in Python and FastAPI for building AI services.
• Experience fine-tuning transformer models for domain-specific tasks.

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

Transformer models

LLMs

RAG

Agentic AI

ML frameworks

REST APIs

Cloud platforms

Vector databases

Tools

Hugging Face

PyTorch

TensorFlow

Scikit-learn

LangChain

Job description

Department: LLM, Machine Learning & Data Engineering

Experience: 2–5 years

Location: Kochi (on-site)

Employment type: Full-time

Job Summary

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 will have hands‑on experience 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 and similar), including customizing and fine‑tuning pre‑trained models
• Practical experience with model training, evaluation and model re‑ranking
• Strong, demonstrable understanding of LLMs, RAG, and prompt engineering, with hands‑on experience in at least one Agentic AI framework (LangChain, LangGraph, CrewAI, AutoGen or similar)
• Experience with at least one ML framework (PyTorch, TensorFlow or Scikit‑learn)
• Working knowledge of at least one vector database (Pinecone, Qdrant, Chroma, Weaviate or similar)
• Experience with REST APIs and at least one cloud platform (Azure or AWS)
• Strong analytical, problem‑solving and communication skills

Skills: machine learning,llm,models,agentic ai