GenAI Engineer

Description

We Are KPMG Israel.

KPMG Israel is more than a professional services firm, we are a community of people driven by impact.

As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies.

Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. 

Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society.

We are seeking an experienced Generative AI Engineer to join our AI squad at KPMG. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.

Key Responsibilities

GenAI Development & Implementation

• End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
• Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
• Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
• Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
• Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
• System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability

Continuous Learning & Innovation

• Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
• Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment

Requirements

Technical Expertise

• Programming: Advanced proficiency in Python for backend development and AI applications.
• GenAI Mastery: Deep understanding of Large Language Models (LLMs) and hands-on experience with major model APIs such as OpenAI, Anthropic, Google, etc.
• Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures.
• Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques.
• Cloud Platforms:Required: Hands-on experience with AI services in at least one major cloud platform - GCP, Azure, or AWS.
• Advantage: Experience across multiple cloud platforms and services such as AI Search, Vertex AI, SageMaker, etc.
• Development Frameworks: Experience with GenAI frameworks such as LangChain and cloud-based retrieval services.
• Software Engineering: Strong background in microservices architecture, API development, and production system design.
• AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques.
• Containerization - Advantage: Experience with Docker and Kubernetes for deployment and orchestration.
• OCR Technologies - Advantage: Experience with Optical Character Recognition systems and document processing.
• Data Pipelines - Advantage: Experience building and maintaining data processing pipelines.

Professional Experience

• Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
• Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
• Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions

Education & Background

• Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
• Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)

Soft Skills

• Problem-Solving: Excellent analytical and creative problem-solving abilities
• Communication: Strong technical communication skills for both technical and non-technical audiences
• Collaboration: Proven ability to work effectively in cross-functional teams
• Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
• Consulting Mindset: Ability to understand client needs and provide strategic technical guidance

What We Offer

• Opportunity to work on cutting-edge GenAI projects across diverse industries
• Dual role combining hands-on development with strategic consulting
• Access to latest AI technologies and cloud platforms
• Collaborative environment with cross-functional teams
• Professional development in a rapidly evolving field

Diversity & Inclusion

This position is open to all qualified candidates. We support diversity and view it as a strength that enhances our ability to develop, learn, and innovate. We advocate for inclusion and empower people of all backgrounds to contribute their unique perspectives.