Software Engineer -AI Backend

Reposted 23 Days Ago
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תל אביב
In-Office
Mid level
Fintech • Payments • Professional Services • Financial Services
The Role
The Software Engineer will design, develop, and deploy backend systems integrating Generative AI capabilities, focusing on code quality and cloud infrastructure management, while collaborating with teams for project delivery and client engagement.
Summary Generated by Built In
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.

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 
Requirements

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.

  • Leave & Time Off Breadth Feedback suggests the firm provides generous Paid Time Off, paid holidays, sabbatical leave, military leave, paid volunteer time, and paid sick days. Flexibility is further supported through a hybrid work approach intended to promote well-being.
  • Healthcare Strength Feedback suggests employees have access to comprehensive health, dental, and vision insurance alongside mental health benefits. Tax-advantaged accounts such as FSA and HSA further strengthen the healthcare offering.
  • Retirement Support Feedback suggests the package includes a 401(k) plan, a pension plan, life and AD&D insurance, disability coverage, and retiree health and medical benefits. These elements indicate a strong focus on long-term financial security.

KPMG Insights

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The Company
Berlin
231,171 Employees

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

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