AI Engineer

Job Title: Applied 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 looking for a highly skilled Mid-Senior Applied AI Engineer to design, develop, and deploy scalable artificial intelligence solutions within our enterprise AI platform. This role requires strong architectural thinking to build robust Generative AI services, advanced Retrieval-Augmented Generation (RAG) pipelines, and agentic AI workflows.

The ideal candidate will collaborate closely with AI Program Managers, Data & Analytics teams, and business stakeholders to translate business requirements into secure, production-ready AI applications.

This is a hybrid role based in Chennai

Key Responsibilities

• Design and develop core AI application components supporting enterprise AI initiatives including agentic workflows, batch processing, and enterprise data integrations.
• Build and optimize advanced RAG pipelines, embeddings, and vector search strategies to support retrieval from both structured and unstructured enterprise data sources.
• Develop secure and high-performance backend APIs using Python and FastAPI for integrating large language models into enterprise systems.
• Integrate and orchestrate multiple LLM providers (OpenAI, Claude, Gemini) using model-agnostic routing strategies to optimize performance, cost, and latency.
• Collaborate with AI Program Managers and Business Analysts during the project intake phase to assess feasibility, define architecture, and evaluate data readiness.
• Deploy AI solutions using CI/CD pipelines, containerization, and cloud-based deployment strategies.
• Implement LLMOps practices including monitoring, observability, prompt drift detection, and performance metrics tracking.

Required Skills & Experience

• 2-5 years of experience in AI/ML engineering or applied AI development
• Strong experience working with Large Language Models (OpenAI, Anthropic Claude, Google Gemini)
• Advanced experience building RAG pipelines and agentic AI systems
• Frameworks: LangChain, LangGraph, LlamaIndex
• Backend Development: Python, FastAPI (Node.js basic knowledge preferred)
• Vector Databases: Azure AI Search, Pinecone, Milvus
• Databases: PostgreSQL or other relational databases
• Cloud Platform: Microsoft Azure and Azure AI Services
• DevOps: Git, Docker, CI/CD pipelines
• Experience with LLM observability, monitoring, and evaluation frameworks
• Strong problem-solving and system design skills for enterprise-scale AI platforms

Preferred Skills

• Experience designing agent-based AI workflows and multi-agent architectures
• Knowledge of AI governance, security, and compliance frameworks
• Experience optimizing LLM latency, cost, and inference pipelines
• Familiarity with LLMOps platforms and monitoring tools

Relevant Experience Preferred

• IT / ITES organizations implementing enterprise AI platforms and automation solutions
• Experience working with large-scale enterprise data systems and AI deployments
• Projects involving multi-model LLM orchestration and advanced RAG architectures

Qualification

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field
• Relevant AI/ML or Cloud certifications are an added advantage

Interested candidates kindly share your resume to:

sagana.sannasiperumal@kumaran.com