At KPMG Israel, our Generative AI delivery team builds end-to-end AI-powered products for clients across diverse industries. Our projects range from intelligent API services to complete production systems including user management, complex databases, process orchestration, and cloud infrastructure. We combine strong software engineering with AI capabilities to deliver solutions that create real business value.
About the job
About the Role
This is a senior, hands-on technical leadership role. The position combines active day-to-day backend and AI development with responsibility for leading the design, architecture, and delivery of AI-powered production systems. The Technical Lead owns key technical decisions, leads AI implementation in practice, and guides other engineers while remaining deeply hands-on throughout the project lifecycle.
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 lead architectural decisions, take ownership of project delivery, and work closely with stakeholders and other senior engineers.
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 on GenAI adoption and system design
Requirements
Must Have
- 5+ years of professional experience as a backend software engineer, including hands-on development and experience leading software engineering efforts or teams.
- Hands-on experience leading the design and development of AI/GenAI solutions, with responsibility for architectural decisions and active implementation of LLM-based systems in production.
- Strong proficiency in Python for backend development.
- Solid experience designing and building production-grade systems, including APIs, microservices, databases, message queues, and authentication.
- Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure).
- Strong understanding of software architecture patterns and engineering best practices.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
- Team leadership capabilities
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.
