AI Engineer - Python & Generative AI

Kumaran Systems; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Kumaran Systems in Chennai is seeking an AI Engineer with 3–6 years of hands‑on Python and Generative AI experience to design, build, and deploy AI‑driven solutions. The role focuses on RAG pipelines, LLM fine‑tuning, and AI agents integrated with enterprise APIs.

The ideal candidate will work with LangChain, LlamaIndex, and Hugging Face while collaborating with cross‑functional teams to deliver scalable GenAI applications. Chennai based, full‑time, office‑based role.

Qualifications

• 3–6 years of AI/ML engineering experience with strong Python
• Hands‑on experience with Generative AI / LLMs (OpenAI GPT, Gemini, Mistral, LLaMA)
• Experience with RAG architecture, prompt engineering, and LLM fine‑tuning
• Familiarity with AI/ML frameworks and vector databases
• Experience deploying AI models on cloud platforms
• Knowledge of SQL/NoSQL databases and REST APIs

Responsibilities

• Design, develop, and deploy AI/ML models and GenAI apps in Python
• Build and optimize RAG pipelines integrating LLMs with vector DBs
• Fine‑tune and prompt‑engineer LLMs for business use cases
• Develop AI agents/chatbots and integrate with enterprise apps and APIs
• Work with LangChain, LlamaIndex, and Hugging Face for GenAI development
• Collaborate with Product/Data/DevOps to build scalable AI solutions
• Implement and manage vector databases and monitor model performance

Skills

Python

Generative AI

LLMs

RAG pipelines

Prompt engineering

NLP fundamentals

Education

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

Tools

LangChain

LlamaIndex

Hugging Face

TensorFlow/PyTorch

Vector databases (Pinecone/Chroma/FAISS)

Job description

AI Engineer Python & Generative AI

Position: AI Engineer

Experience: 3 – 6 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

• 3–6 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

Interested candidates kindly share your resume to [e-mail]