Graph-based memory jobs

Senior Associate - GenAI and Agentic AI (GCC_ Advisory)

PwC · Posted Nov 4, 2026

Open

Bengaluru, Karnataka, India +1 more
Full-time · Senior
3–7 years

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Senior Associate - GenAI and Agentic AI (GCC_ Advisory)

PwC · Posted Nov 4, 2026

Open

Bengaluru, Karnataka, India +1 more
Full-time · Senior
3–7 years

Apply with Referso

Senior Associate GenAI and Agentic AI

PwC · Posted Nov 4, 2026

Open

Bengaluru, Karnataka, India +1 more
Associate
3–7 years

Apply with RefersoAI Apply on careers page

AI Engineer with 3–7 years of experience, including 2+ years in Generative AI, to build and deploy GenAI solutions using RAG, LLMs, and multi-agent frameworks.

Locations (2)

Bengaluru, Karnataka, India
India

Responsibilities

Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness.
Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
Integrate with graph-based memory and tool-using agents to enhance LLM capabilities.
Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.).

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field
Master of Engineering
Bachelor of Engineering
Nice to have: Tool-using agents
Nice to have: Memory-augmented architectures

Senior Associate

PwC · Posted Nov 4, 2026

Open

Bengaluru, Karnataka, India +1 more
Associate
3–7 years

Apply with RefersoAI Apply on careers page

AI Engineer focused on Generative AI and agentic solutions

Locations (2)

Bengaluru, Karnataka, India
India

Responsibilities

Design, develop, and deploy GenAI solutions
Build and scale Retrieval-Augmented Generation systems
Integrate graph-based memory and tool-using agents
Implement multi-agent orchestration and reasoning systems
Use LLM frameworks and libraries

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
Bachelor of Engineering
Master of Engineering
Nice to have: Tool-using agents
Nice to have: Memory-augmented architectures

Skills

Generative AI Large Language Models

Senior Associate GenAI and Agentic AI

PwC · Posted Nov 4, 2026

Open

Bengaluru, Karnataka, India
Associate
3–7 years

Apply with RefersoAI Apply on careers page

AI Engineer with 3–7 years of experience, including a minimum of 2 years in Generative AI, to build and deploy advanced AI solutions leveraging Retrieval-Augmented Generation, LLMs, multi-agent frameworks, and state-of-the-art tooling.

Responsibilities

Design, develop, and deploy GenAI solutions
Build and scale Retrieval-Augmented Generation systems
Integrate with graph-based memory and tool-using agents
Implement multi-agent orchestration and reasoning systems
Use LLM frameworks and libraries

Requirements

Bachelor’s degree in Computer Science or Engineering
Master of Engineering
Bachelor of Engineering
Nice to have: Tool-using agents
Nice to have: Memory-augmented architectures

Skills

Generative AI Retrieval-Augmented Generation Large Language Models Multi-agent frameworks Python Cloud-native deployments Version control

IN_Sr Associate_GenAI and Agentic AI_GCC_Advisory_Bangalore

PwC · Posted Nov 4, 2026

Open

Bengaluru, Karnataka, India
Senior
3–7 years

Apply with RefersoAI Apply on careers page

AI Engineer focused on Generative AI and Agentic AI solutions

Responsibilities

Design, develop, and deploy GenAI solutions
Build and scale Retrieval-Augmented Generation (RAG) systems
Integrate graph-based memory and tool-using agents
Implement multi-agent orchestration and reasoning systems
Use LLM frameworks and libraries

Requirements

Bachelor’s degree in Computer Science
Bachelor of Engineering
Nice to have: Tool-using agents
Nice to have: Memory-augmented architectures
Nice to have: Cognitive architectures

Skills

Generative AI Large Language Models Retrieval-Augmented Generation Multi-agent frameworks Python Cloud-native deployments Version control Testing

Senior Associate GenAI and Agentic AI

PwC · Posted Nov 3, 2026

Open

Pune, Maharashtra, India +1 more
Associate
3–7 years

Apply with RefersoAI Apply on careers page

AI Engineer focused on Generative AI and Agentic AI solutions

Locations (2)

Pune, Maharashtra, India
India

Responsibilities

Design, develop, and deploy GenAI solutions
Build and scale Retrieval-Augmented Generation systems
Integrate graph-based memory and tool-using agents
Implement multi-agent orchestration and reasoning systems
Use LLM frameworks and libraries

Requirements

Bachelor’s degree in Computer Science
Bachelor of Engineering
MBA
Nice to have: Tool-using agents
Nice to have: Memory-augmented architectures

Skills

Generative AI Agentic AI

Senior Associate GenAI and Agentic AI

PwC · Posted Nov 3, 2026

Open

Pune, Maharashtra, India +1 more
Senior
3–7 years

Apply with RefersoAI Apply on careers page

AI Engineer focused on Generative AI and Agentic AI solutions

Locations (2)

Pune, Maharashtra, India
India

Responsibilities

Design, develop, and deploy GenAI solutions for production readiness
Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases
Integrate graph-based memory and tool-using agents to enhance LLM capabilities
Implement multi-agent orchestration and reasoning systems
Use LLM frameworks and libraries such as LangChain, AutoGen, LangGraph

Requirements

Bachelor’s degree in Computer Science
Bachelor of Engineering
MBA
Nice to have: Tool-using agents
Nice to have: Memory-augmented architectures

Skills

Generative AI

Associate GenAI and Agentic AI - GCC Advisory Bangalore

PwC · Posted Nov 3, 2026

Open

Bengaluru, Karnataka, India +1 more
Full-time · Associate
3–7 years

Apply with RefersoAI Apply on careers page

Seeking a skilled AI Engineer to build and deploy advanced AI solutions leveraging Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), multi-agent frameworks, and state-of-the-art tooling.

Locations (2)

Bengaluru, Karnataka, India
India

Responsibilities

Design, develop, and deploy GenAI solutions, with a focus on real-world production readiness.
Build and scale Retrieval-Augmented Generation (RAG) systems for enterprise use cases.
Integrate with graph-based memory and tool-using agents to enhance LLM capabilities.
Implement multi-agent orchestration and reasoning systems (e.g., AutoGen, LangGraph, custom agents).
Use LLM frameworks and libraries (e.g., LangChain, AutoGen, LangGraph etc.).

Requirements

Bachelor’s degree in Computer Science
Engineering
Master of Engineering
MBA
Bachelor of Engineering

Graph-based memory jobs

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