Senior AI Backend Engineer

Posted Yesterday
Be an Early Applicant
תל אביב
In-Office
Senior level
Fintech • Payments • Professional Services • Financial Services
The Role
Lead design and delivery of end-to-end Generative AI solutions. Build and maintain production-grade Python backend services, LLM-powered RAG and agent systems, drive architecture decisions, mentor engineers, and evaluate emerging AI frameworks.
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 Senior AI Backend Engineer who is passionate about building production AI systems and helping shape the technical direction of our AI Engineering team.

You'll combine hands-on software development with technical leadership, driving architecture decisions, mentoring engineers and helping define engineering best practices while remaining deeply involved in designing and building production-grade AI solutions powered by LLMs, RAG architectures and AI Agents.

Working closely with customers, the Development Manager and multidisciplinary teams, you'll help transform complex business challenges into scalable AI systems that deliver measurable business value.

What You'll Do

  • Lead the technical design and delivery of end-to-end Generative AI solutions, from architecture through production deployment.
  • Design, build and maintain production-grade AI applications and scalable backend services using Python.
  • Develop LLM-powered solutions, including RAG architectures, AI Agents and orchestration workflows.
  • Drive architecture decisions and technical design across AI solutions.
  • Translate business requirements into scalable AI architectures and technical solutions.
  • Provide technical leadership through design reviews, code reviews and engineering mentorship.
  • Contribute to engineering standards, best practices and technical excellence across projects.
  • Evaluate emerging AI frameworks and technologies, incorporating them into production solutions where appropriate.
Requirements

What We're Looking For

  • 4+ years of hands-on backend software development experience.
  • Strong hands-on Python development skills.
  • Experience designing and building scalable backend systems and microservices.
  • Hands-on experience building and deploying production Generative AI applications.
  • Experience with LLMs, RAG architectures and AI Agent frameworks.
  • Experience with AWS, Azure or GCP.
  • Experience with Docker and Kubernetes.
  • Strong understanding of software architecture and distributed systems.
  • Demonstrated technical leadership through architecture ownership, technical decision-making or mentoring other engineers.
  • Excellent problem-solving, communication and collaboration skills.

Important Note

This is a technical leadership role for engineers who enjoy taking ownership, influencing technical direction and helping other engineers succeed while remaining deeply involved in software development. A formal Tech Lead title isn't required. We're looking for engineers who have demonstrated technical leadership by driving architecture decisions, taking ownership of complex systems, mentoring other engineers and delivering production-grade AI solutions

Skills Required

  • 4+ years of hands-on backend software development experience
  • Strong hands-on Python development skills
  • Experience designing and building scalable backend systems and microservices
  • Hands-on experience building and deploying production Generative AI applications
  • Experience with LLMs, RAG architectures and AI Agent frameworks
  • Experience with AWS, Azure or GCP
  • Experience with Docker and Kubernetes
  • Strong understanding of software architecture and distributed systems
  • Demonstrated technical leadership through architecture ownership, technical decision-making or mentoring
  • Excellent problem-solving, communication and collaboration skills

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

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
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

Similar Jobs

HiBob Logo HiBob

Senior Back-end Engineer

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
Israel
1350 Employees

Sequencing.com Logo Sequencing.com

Senior Back-end Engineer

Big Data • Healthtech • Software • Biotech
In-Office or Remote
126 Locations
39 Employees

HiBob Logo HiBob

Senior Product Manager

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
Israel
1350 Employees

HiBob Logo HiBob

Deal Desk Specialist (Maternity leave)

HR Tech • Information Technology • Professional Services • Sales • Software
Remote or Hybrid
Israel
1350 Employees
2-2 Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account