Artificial Intelligence Engineer

Kumaran Systems; Chennai, Coimbatore District; Presencial; INR 2.500.000 - 4.500.000; Jornada completa

Descripción de la vacante

Kumaran Systems in Chennai is seeking an AI Engineer with 5+ years of hands-on Python and Generative AI experience to design, build, and deploy AI-driven solutions.

The role covers developing LLM-based applications, building RAG pipelines, fine-tuning models, and integrating AI agents with enterprise systems. You'll work with LangChain, vector databases, and modern MLOps practices.

Formación

• 5+ years of AI/ML engineering experience.
• Strong hands-on in Python and Generative AI.
• Experience with LLMs and RAG architectures.
• Familiarity with LangChain, LlamaIndex, and Hugging Face.

Responsabilidades

• Design, develop, and deploy AI/ML models using Python.
• Build and optimize RAG pipelines integrating LLMs with vector databases.
• Fine‑tune and prompt‑engineer LLMs for business use cases.
• Develop AI agents/chatbots and integrate with enterprise APIs.
• Work with LangChain, LlamaIndex, and Hugging Face Transformers for GenAI solutions.
• Collaborate with Product, Data Engineering, DevOps to scale AI solutions.
• Implement and manage vector databases (Pinecone, Chroma, FAISS, Weaviate).
• Perform model evaluation, testing, and latency optimization.
• Stay updated on AI/GenAI advancements and best practices.

Conocimientos

Python

Generative AI

LLMs

RAG

Vector databases

Cloud deployment

Educación

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

Herramientas

LangChain

LlamaIndex

Hugging Face

Docker

TensorFlow

PyTorch

Descripción del empleo

AI Engineer Python & Generative AI

Position: AI Engineer

Experience: 5-7 Years

Location: Chennai

Work Mode: Work From Office

Employment Type: Full-Time

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