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Job Title: Principal AI Engineer – Agentic AI & LLM Systems

Experience:
10+ Years (3–4 years in AI/LLMs)

Location:
[Location]

Employment Type:
Full-Time

About the Role

We are seeking an experienced Principal AI Engineer to lead the design and development of enterprise-grade Agentic AI and LLM-powered applications. The ideal candidate will have robust expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, conversational AI, and workflow orchestration. You will architect scalable AI solutions, mentor engineering teams, and drive innovation across AI initiatives.

Key Responsibilities
Design and build scalable Agentic AI and LLM-based enterprise applications.
Develop intelligent AI agents with reasoning, tool/function calling, and workflow automation.
Build and optimize RAG pipelines using vector databases and embeddings.
Design conversational AI solutions for chat and voice applications.




Integrate AI systems with REST APIs, databases, CRMs, and enterprise platforms.
Lead solution architecture, development, deployment, and production monitoring.
Improve AI response quality, latency, security, and reliability.
Mentor engineering teams and collaborate with cross-functional stakeholders.

Required Skills
10+ years in Software Engineering with 3–4 years in Agentic AI, LLMs, and RAG.
Strong Python and backend development experience.
Expertise with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks.
Hands-on experience in Prompt Engineering, Vector Databases, AI Workflow Orchestration, and API integrations.
Robust knowledge of PostgreSQL/MySQL/MongoDB/Elasticsearch.
Experience with cloud deployment, scalable architectures, and distributed systems.

Preferred Skills
Experience building Voice AI, AI Calling Agents, or Conversational AI platforms.
Knowledge

📌 Senior Ai Engineer Coimbatore
🏢 Kubernetikos-infosec
📍 Coimbatore