Job Opportunities

AI Engineer-Kochi (on-site)

ART Technology & Software India Pvt Ltd

Job Description
AI Engineer
LLM, Machine Learning & Data Engineering
Experience: 2–4 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 Fast API
- 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 (Lang Chain, Lang Graph, Crew AI, Autogeny 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, We aviate or similar)
- Experience with REST APIs and at least one cloud platform (Azure or AWS)
- Strong analytical, problem-solving and communication skills

Good to have
- Exposure to multiple Agentic AI frameworks (beyond the one required above)
- Familiarity with more than one ML framework (PyTorch, TensorFlow, Scikit-learn)
- Experience across multiple vector databases
- Working knowledge of both Azure and AWS

Eligibility
No bar on educational qualification — relevant hands-on experience is what matters.
What we offer
- Structured AI upskilling through our AI Centre of Excellence
- Direct exposure to international clients
- A defined Forward Deployed AI Engineer growth track for strong performers