Artificial Intelligence Engineer

Job Title: AI Engineer About Kumaran Systems Kumaran Systems is a global technology solutions provider delivering innovative IT services and digital transformation solutions to clients worldwide. We foster a collaborative, growth-driven work culture and offer employees opportunities to work on global assignments, enabling both professional and personal development. Role Overview We are seeking a highly skilled AI/ML Engineer with strong expertise in Retrieval-Augmented Generation (RAG) systems and advanced AI model development.

The ideal candidate will have hands-on experience building intelligent AI chatbots, integrating structured and unstructured data sources, and deploying scalable AI solutions in production environments . This is a hybrid role based in Chennai / Bangalore . Key Responsibilities: Design, develop, and deploy AI/ML models and intelligent systems for business applications.

Build and optimize Retrieval-Augmented Generation (RAG) pipelines using modern AI frameworks. Develop scalable AI solutions leveraging vector databases and NoSQL databases. Work with large datasets using distributed data processing frameworks.

Implement machine learning models using deep learning frameworks. Build and integrate AI pipelines using LangChain and vector database technologies. Optimize model performance, scalability, and inference pipelines.

Write clean, maintainable, and well-tested code using modern development practices. Collaborate with data engineers, ML engineers, and product teams to deliver AI-driven solutions. Conduct testing, debugging, and performance tuning of AI models and data pipelines .

Required Skills & Experience 4-10 years of experience in AI engineering Strong experience in Vector Databases (Cosmos DB, Pinecone) Databases: MongoDB / NoSQL Databases Data Processing: PySpark, Polars AI Frameworks: LangChain Deep Learning: PyTorch / PyTorch Lightning, TensorFlow Testing & Development: Pytest, Poetry Strong proficiency in Python for AI/ML development Experience building scalable ML pipelines and AI applications Preferred Skills Experience with LLMs, Generative AI, or RAG architectures Knowledge of cloud platforms and AI deployment Familiarity with model optimization, monitoring, and MLOps practices Strong problem-solving and analytical skills Relevant Experience Preferred IT / ITES organizations implementing AI-driven automation solutions Product-based companies building AI-powered applications or SaaS platforms Organizations developing conversational AI or enterprise chatbot solutions Experience in high-scale production AI deployments Projects involving multi-modal AI systems and structured + unstructured data integration Experience working in global delivery models with onsite-offshore coordination Qualification Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field Relevant AI/ML certifications (added advantage)