Generative AI Engineer

At KPMG Israel, our Generative AI delivery team stands at the forefront of technological innovation, representing the most advanced AI capabilities in the Israeli market. Our world-class specialists harness the full spectrum of cutting-edge AI technologies – from large language models and multimodal AI architectures to autonomous agents and advanced machine learning frameworks – to architect transformative solutions that redefine business possibilities. Working with the latest generative AI tools, cloud-native architectures, and emerging AI platforms, our team doesn't just implement technology; we pioneer new paradigms of intelligent automation and decision-making. Every project we undertake pushes the boundaries of what's possible, combining deep technical expertise with strategic business acumen to deliver solutions that don't just meet today's challenges but anticipate tomorrow's opportunities. Join us in shaping the future of AI-driven business transformation, where innovation meets excellence and cutting-edge technology creates unprecedented value for our clients across industries.

About the job

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 experience with major model APIs (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 (AI Search, Vertex AI, SageMaker, etc.)

Development Frameworks: Experience with GenAI frameworks like 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.

Generative AI Engineer

Amazing! This is my dream job