How do I apply for the AI Engineer – Agentic AI & GraphRAG role at Agivant Technologies?

Click the "Apply on Company Site" button on this page to open Agivant Technologies's application listing in a new tab and complete your application there.

Is this AI Engineer – Agentic AI & GraphRAG position at Agivant Technologies remote?

No — this role is based on-site in Hyderabad, Telangana, India.

What experience level is required for this role?

This is a Mid-level position requiring 3–6 years of experience.

Full time 🤖 AI / ML

AI Engineer – Agentic AI & GraphRAG at Agivant Technologies

Q: What skills are required for the AI Engineer – Agentic AI & GraphRAG role at Agivant Technologies?

The required skills for this position include: 3–6 years hands-on software engineering with exposure to LLM orchestration, agent systems, or AI SDKs, Comfortable working through loosely defined problems with senior team support, Strong programming in Python, Working experience with TigerGraph (GSQL, RESTPP, schema modeling) or strong graph database experience, Familiarity with Graph-based RAG architectures in real-world AI systems, Experience with LangChain, LangGraph, or similar agent-based LLM tools, Understanding of vector indexing and similarity search (FAISS, Milvus), Ability to build usable internal tools for developers or data scientists.

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Hyderabad, Telangana, India

Hybrid

Mid-level · 3–6 yrs

About the Role

Agivant is a new-age AI-First Digital and Cloud Engineering services company driving agility and relevance for client success. The company is hiring an AI Engineer in Hyderabad to work on GraphRAG (Graph Retrieval-Augmented Generation) systems and contribute to the evolution of Graph's MCP (Model Context Protocol) tooling framework, blending graph intelligence with generative AI.

What you'll do

Contribute to GraphRAG systems and MCP framework components
Design and build MCP tools and components including orchestration logic and agentic-AI workflows
Build integration code between TigerGraph GSQL, vector indexing, and external LLMs (OpenAI, Gemini, LLaMA)
Develop reusable modules, prompts, and components for cognitive agents
Collaborate with TigerGraph platform, AI research, and product teams on MCP engineering roadmap
Write test suites and benchmark GraphRAG system performance
Contribute to internal documentation and SDKs for MCP developer usability

What we're looking for

3–6 years hands-on software engineering with exposure to LLM orchestration, agent systems, or AI SDKs
Comfortable working through loosely defined problems with senior team support
Strong programming in Python
Working experience with TigerGraph (GSQL, RESTPP, schema modeling) or strong graph database experience

Skills & Technologies

Required

3–6 years hands-on software engineering with exposure to LLM orchestration, agent systems, or AI SDKs Comfortable working through loosely defined problems with senior team support Strong programming in Python Working experience with TigerGraph (GSQL, RESTPP, schema modeling) or strong graph database experience Familiarity with Graph-based RAG architectures in real-world AI systems Experience with LangChain, LangGraph, or similar agent-based LLM tools Understanding of vector indexing and similarity search (FAISS, Milvus) Ability to build usable internal tools for developers or data scientists

Benefits & Perks

Health Insurance
Flexible Leave Policy
Learning Budget
EPF / NPS

Why This Role is Good for Experienced Professionals

This role spans AI/LLM integration, graph query pipelines, and developer tooling in an open-ended, problem-solving environment.
Contribute to GraphRAG systems and MCP framework components
Design MCP tools: orchestration logic, agentic-AI workflows, LLM interface layers
Build integration between TigerGraph GSQL, vector indexing, and external LLMs
Develop reusable modules for cognitive agents: GraphRAG agents, schema routers, QA evaluators
Collaborate with TigerGraph platform, AI research, and product teams
Write test suites and benchmark GraphRAG performance for hallucination, groundedness, and latency
Contribute to internal documentation and SDKs
Work from clear objectives rather than fully scoped tickets
Exposure to cutting-edge graph-native AI architectures
IT services environment with diverse client-facing AI projects

About Agivant Technologies

Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives agility and relevance for client success. Powered by cutting-edge technology solutions enabling new business models and revenue streams, Agivant helps clients achieve growth trajectories and drive greater efficiencies through technology-led innovation.

Industry: Technology
Company Size: 500+
Website: agivanttechnologies.com

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Job Details

Type: Full time
Level: Mid-level
Experience: 3–6 years
Location: Hyderabad, Telangana, India
Work Mode: Hybrid
Category: AI / ML

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