AI Engineer & KG (Graph, DB)

Movate Technologies Services Limited; Chennai District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

A technology services company in Chennai is seeking an experienced AI Engineer to design and develop autonomous AI agents. The role requires expertise in Agentic AI, Python, and GraphDB for building Knowledge Graphs. The ideal candidate will have at least 3 years of AI/ML experience, including 2 years focused on agentic AI development. This position offers the opportunity to work on innovative AI systems in a collaborative environment.

Qualifications

• 3+ years of experience in AI/ML engineering, with 2+ years in agentic AI development.
• Strong proficiency in Python, LangChain, LLM orchestration frameworks, NoSQL and GraphDB.
• Experience with knowledge graph modeling, SPARQL, and semantic reasoning.

Responsibilities

• Design and develop autonomous AI agents using agentic design patterns.
• Implement multi-agent systems capable of task delegation, planning, and decision-making.
• Build and maintain Knowledge Graphs using GraphDB.

Skills

AI/ML

Agentic AI

Python

GraphDB

Tools

LangChain

NoSQL

Job description

Primary Key Skills – AI/ML, Agentic AI, LLM, Python, GraphDB

Role

AI Engineer with hands‑on experience in developing AIAgents and implementing Agentic AI capabilities. The ideal candidate will also have deep expertise in building and managing Knowledge Graphs using GraphDB, enabling intelligent reasoning and contextual awareness in enterprise‑grade AI systems.

Key Responsibilities

• Design and develop autonomous AI agents using agentic design patterns (e.g., reflection, reasoning, tool‑use, collaboration).
• Implement multi‑agent systems capable of task delegation, planning, and decision‑making.
• Build and maintain Knowledge Graphs using GraphDB to support semantic search, contextual reasoning, and data enrichment.
• Integrate AI agents with external tools, APIs, and databases to enable dynamic workflows.
• Collaborate with data scientists, domain SMEs, and architects to define ontology models, entity relationships, and graph schemas.
• Optimize agent performance through feedback loops, RLHF, and context‑aware protocols (e.g., MCP).
• Ensure scalability, security, and compliance of AI systems across cloud and hybrid environments.
• Document technical designs, workflows, and best practices for internal and external stakeholders.

Qualifications

• 3+ years of experience in AI/ML engineering, with 2+ years in agentic AI development.
• Strong proficiency in Python, LangChain, LLM orchestration frameworks, NoSQL and GraphDB.
• Experience with knowledge graph modeling, SPARQL, and semantic reasoning.
• Familiarity with MCP Protocols, tool‑augmented agents, and retrieval‑augmented generation (RAG).
• Understanding of LLM fine‑tuning, prompt engineering, and multi‑turn dialogue systems.