AI Engineer

Kumaran Systems; Chennai District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Kumaran Systems in Chennai is seeking an experienced AI Engineer to design, build, and deploy AI/ML solutions using Python and Generative AI technologies for real‑world business use cases. You will work on RAG pipelines, LLM fine‑tuning, AI agents, and integrations with enterprise APIs, collaborating with Product, Data Engineering, and DevOps to deliver scalable GenAI applications.

Familiarity with LangChain, vector databases, transformers, and MLOps basics is a plus; strong communication and

Qualifications

• 5+ years in AI/ML engineering.
• Proficient in Python and GenAI tech.
• Hands-on with RAG, LLM fine-tuning, prompt engineering.
• Experience with vector stores and NLP concepts.

Responsibilities

• Design, develop, and deploy AI/ML models and GenAI apps using Python.
• Build and optimize RAG pipelines with LLMs and vector databases.
• Fine-tune and prompt-engineer LLMs for business use cases.
• Develop AI agents/chatbots and integrate with APIs and enterprise apps.

Skills

Python

Generative AI/LLMs

RAG pipelines

Prompt engineering

LLM fine‑tuning

LangChain/LlamaIndex/HuggingFace

Vector databases

NLP/ML concepts

Cloud platforms (AWS/Azure/GCP)

REST APIs & Docker

MLOps basics

SQL/NoSQL databases

Education

Bachelor's/Master's in CS/IT/AI/ML

Tools

LangChain

LlamaIndex

Hugging Face Transformers

TensorFlow/PyTorch

Pinecone/Chroma/FAISS/Weaviate

Job description

Function: Artificial Intelligence / Engineering

About the Role

We are looking for a skilled AI Engineer with strong hands‑on experience in Python and Generative AI technologies to design, build, and deploy intelligent AI‑driven solutions. The ideal candidate will have a solid foundation in machine learning concepts along with practical exposure to LLMs, RAG pipelines, and AI application development.

Key Responsibilities

• Design, develop, and deploy AI/ML models and Generative AI applications using Python.
• Build and optimize RAG (Retrieval‑Augmented Generation) pipelines integrating LLMs with vector databases.
• Fine‑tune and prompt‑engineer LLMs (OpenAI, Mistral, Gemini, LLaMA, etc.) for specific business use cases.
• Develop AI agents/chatbots and integrate them with enterprise applications and APIs.
• Work with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers for GenAI solution development.
• Collaborate with cross‑functional teams (Product, Data Engineering, DevOps) to build scalable AI solutions.
• Implement and manage vector databases (Pinecone, Chroma, FAISS, Weaviate, etc.).
• Conduct model evaluation, testing, and performance optimization for accuracy and latency.
• Stay updated with the latest advancements in AI/ML and Generative AI technologies and recommend adoption where relevant.
• Ensure best practices in code quality, version control, and documentation.

Required Skills & Qualifications

• 5+ years of overall experience in AI/ML engineering, with strong proficiency in Python.
• Hands‑on experience with Generative AI / LLMs (OpenAI GPT, Google Gemini, Anthropic Claude, Mistral, LLaMA, etc.).
• Practical experience with RAG architecture, prompt engineering, and LLM fine‑tuning.
• Familiarity with AI/ML frameworks: LangChain, LlamaIndex, Hugging Face, TensorFlow/PyTorch.
• Experience working with Vector Databases (Pinecone, Chroma, FAISS, Weaviate, etc.).
• Strong understanding of NLP, Machine Learning, and Deep Learning concepts.
• Experience with cloud platforms (AWS, Azure, or GCP) for AI model deployment.
• Familiarity with REST APIs, containerization (Docker), and basic MLOps practices.
• Good understanding of SQL/NoSQL databases.
• Strong analytical, problem‑solving, and communication skills.

Good to Have

• Experience with AI Agent frameworks (Agent SDKs, AutoGen, CrewAI, etc.).
• Exposure to Kubernetes and CI/CD pipelines.
• Prior experience in building chatbots, virtual assistants, or automation solutions.
• Knowledge of AI governance, responsible AI, and model evaluation frameworks.

Education

• Bachelor's/Master's degree in Computer Science, Information Technology, AI/ML, or a related field.

Work Mode

Work From Office - Chennai