Ubique Systems

TRPD-26-05887

Python Engineer - Graph RAG & Agentic AI

Hiring a 5-7 years Python engineer in India (permanent) to build Generative AI solutions focused on Graph RAG (graph-based retrieval augmented generation) and agentic AI workflows. The role centers on Python development for LLM applications, including retrieval pipelines and agent orchestration patterns, with an emphasis on implementing and integrating these capabilities into production-ready services.

Position summary

Location
India
Workplace
On-site
Employment
Full Time
Experience
Minimum 5 years and Maximum 7 years
Apply now

Role overview

Why This Role Matters.

Hiring a 5-7 years Python engineer in India (permanent) to build Generative AI solutions focused on Graph RAG (graph-based retrieval augmented generation) and agentic AI workflows. The role centers on Python development for LLM applications, including retrieval pipelines and agent orchestration patterns, with an emphasis on implementing and integrating these capabilities into production-ready services.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

01

Python

02

Graph RAG

03

GraphRAG

04

RAG

05

Retrieval Augmented Generation

06

Agentic AI

07

LLM agents

08

Knowledge Graph

09

Graph Database

10

Neo4j

11

LangChain

12

LlamaIndex

13

Embeddings

14

Vector Database

15

Prompt Engineering

16

Tool calling

17

Function calling

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

Python

Graph RAG (graph-based retrieval augmented generation)

Agentic AI (LLM agents / tool-using agents)

Preferred

Nice to Have

RAG (retrieval augmented generation)

Knowledge graphs / graph data modeling

Graph databases (e.g., Neo4j)

LLM frameworks (e.g., LangChain, LlamaIndex)

Vector databases / embeddings

Prompt engineering

API development (REST)

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

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