Associate Generative AI Engineer

About the job

Our work combines advanced engineering with strategic advisory capabilities, delivering AI-driven solutions that create measurable business value for clients.

We are seeking an Associate Generative AI Engineer to join our AI squad at KPMG. This role blends hands-on engineering with exposure to system design and client-facing delivery, making it an excellent opportunity for engineers early in their career to work on real, production-grade GenAI systems.

You will design, build, and operate LLM-based and agentic systems as part of cross-functional teams, contributing to both greenfield initiatives and the evolution of existing GenAI platforms. You will develop strong foundations in system architecture, backend engineering, and cloud-based GenAI delivery while working closely with more experienced engineers.

Key Responsibilities

GenAI Development & Implementation

• Develop end-to-end GenAI solutions from POC through production deployment

• Implement backend microservices and GenAI components using Python

• Contribute to the development of multi-agent systems, orchestration layers, and autonomous workflows

• Integrate and optimize LLMs and GenAI APIs within larger systems

• Participate in evaluating and improving system performance, scalability, reliability, and cost efficiency

Client Engagement & Collaboration

• Participate in technical discussions with clients and contribute to solution design discussions

• Support presentations, demos, and technical explanations for client stakeholders

• Collaborate closely with project managers, full-stack developers, and automation teams to deliver end-to-end solutions

Cloud & Platform Work

• Deploy and operate GenAI systems on GCP, Azure, and/or AWS

• Work with cloud-native AI services and managed platforms

• Contribute to monitoring, reliability, and operational stability of production environments

Continuous Learning & Practice Development

• Explore and evaluate emerging GenAI models, frameworks, and techniques

• Contribute to team best practices, internal documentation, and shared methodologies

• Continuously improve technical skills in LLM systems, agentic architectures, and cloud engineering

Requirements

Technical Expertise

• Strong proficiency in Python for backend development and AI-related systems

• Solid understanding of large language models and generative AI techniques

• Experience contributing to agent-based workflows or orchestration logic

• Practical experience with prompt design and prompt optimization techniques

• Understanding of microservices architecture and API-based system design

• Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)

Professional Experience

• Up to 2 years of experience in software engineering, AI, or ML-related roles

• Experience contributing to production or production-adjacent systems

• Exposure to client-facing or consulting-style project delivery is an advantage

Education & Background

• Bachelor’s degree in Computer Science, AI, Machine Learning, or related technical field

(or equivalent practical experience and portfolio)

Soft Skills

• Strong analytical and problem-solving abilities

• Clear technical communication skills

• Ability to collaborate effectively across teams

• Adaptability and eagerness to learn in fast-paced environments

• Consulting mindset and client-oriented approach

What We Offer

• Opportunity to work on cutting-edge GenAI projects across diverse industries

• Hands-on involvement in LLM-based and agentic systems used in production

• Exposure to cloud-native AI platforms and modern system architectures

• Collaborative consulting environment with experienced engineers and advisors

• Continuous professional development in a rapidly evolving field