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.
About the Role
We're looking for a Software Engineer with strong backend and cloud expertise to join our AI team. You'll design and build backend systems that integrate Generative AI capabilities, contributing across the stack from API development to cloud deployment.
This role is ideal for someone who thinks in systems, loves solving complex problems, and can go deep into implementation details while keeping the big picture in mind. You'll work closely with our team lead on architectural decisions and take ownership of project delivery.
Key Responsibilities
Systems Design & Development
- Design and build complete backend systems APIs, databases, queues, authentication, and integrations
- Develop Python services with strong focus on code quality, performance, and reliability
· Design solutions that scale across different client environments (cloud and on-prem)
AI Integration
- Integrate LLMs (Multi Agents Systems) and GenAI capabilities into production systems
- Build orchestration layers and workflows that combine AI with traditional backend logic
- Optimize AI system performance, cost, and reliability
Cloud & Infrastructure
- Deploy and manage systems across major cloud platforms (GCP, Azure, AWS)
- Work with cloud-native services, databases, and infrastructure tools
- work with production systems, monitoring, and operational health
Collaboration & Delivery
- Communicate with client development teams, DevOps, and business stakeholders
- Guide frontend developers on API contracts and integration requirements
- Contribute to technical decisions and solution design within the team
Client Engagement & Advisory
- Lead technical discussions with clients and translate business needs into technical architectures
- Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
- Provide strategic technical guidance
Must Have
- 3+ years of relevant software engineering experience
- Working knowledge of GenAI concepts and LLM integration
- Strong proficiency in Python for backend development
- Solid experience designing and building production systems (APIs, Microservices, databases, message queues, authentication)
- Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
- Understanding of software architecture patterns and best practices
- Bachelor’s degree in Computer Science or related field or equivalent practical experience
Advantages
- Experience with multiple cloud platforms
- Docker and Kubernetes experience
- Experience with LLM provider APIs (OpenAI, Anthropic, Google) including function calling and streaming
- Data pipeline development experience
What We're Looking For
- Strong problem-solving skills ability to model a problem correctly and propose complete solutions
- Attention to detail and ability to go deep into implementation
- Ability to quickly learn and apply new technologies, especially in the GenAI space
- Clear technical communication skills
- Comfort working in a fast-paced consulting environment with varying project types
What We Offer
- Variety of projects from focused AI services to complete production systems.
- Exposure to multiple industries, cloud platforms, and technical challenges.
- Opportunity to grow technical leadership skills.
- Collaborative team environment with hands-on architectural guidance.
- Continuous learning in a rapidly evolving field.
Skills Required
- 3+ years of relevant software engineering experience
- Working knowledge of GenAI concepts and LLM integration
- Strong proficiency in Python for backend development
- Solid experience designing and building production systems
- Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
- Bachelor's degree in Computer Science or related field or equivalent practical experience
KPMG Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KPMG and has not been reviewed or approved by KPMG.
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Leave & Time Off Breadth — Paid time off starts early in tenure and is supplemented by additional holiday weeks and a variety of paid leaves. Feedback suggests companywide breaks and multiple leave types provide meaningful downtime.
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Retirement Support — Retirement offerings include a firm-funded 401(k), company-paid retirement benefit, and pension options with vesting. Feedback suggests automatic contributions enhance long-term savings certainty.
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Healthcare Strength — Health coverage includes medical, dental, vision, disability, critical illness, and access to an EAP alongside FSAs/HSAs. Feedback suggests the breadth of health and wellness options is a strong component of total rewards.
KPMG Insights
What We Do
KPMG is a global network of professional firms providing Audit, Tax and Advisory services. We have 273,000 outstanding professionals working together to deliver value in 143 countries and territories. With a worldwide presence, KPMG continues to build on our successes thanks to clear vision, defined values and, above all, our people. Our industry focus helps KPMG firms’ professionals develop a rich understanding of clients' businesses and the insight, skills and resources required to address industry-specific issues and opportunities. The independent member firms of the KPMG network are affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. Each KPMG firm is a legally distinct and separate entity and describes itself as such
