Job opportunity: Senior Backend Engineer

Senior Backend Engineer

Remote · Full-time, Part-time · Senior

What is your new project?

Domain: Software development
Location: Israel, USA
Company size: 2-10
Founded in: 2025

What makes this project exciting?

Join our client – the fresh Israeli-American startup reimagining how communities connect. Founded in April 2025 and already backed by leading Israeli investors, it is building a next-gen personal CRM and AI-powered engagement platform designed to make networking smarter, faster, and more human.

The product begins with a sleek PWA and is set to expand soon to iOS and Android. This is your chance to shape the product from MVP to global launch!

Check out the position below and join a small, focused team with massive ownership, real influence, and zero bureaucracy.

What makes you a great fit

6+ years of Python development experience with strong expertise in backend systems
Hands-on Cursor IDE experience (or willingness to quickly adapt)
Strong algorithmic thinking - Demonstrated expertise in complex algorithmic problem-solving and data structures
Proven work ethic with a results-driven, can-do attitude and startup mindset
Excellent English communication skills for effective collaboration in our distributed team
Kubernetes and cloud infrastructure experience
Experience with FastAPI, RAG systems, or LLM integrations will be a plus

Your day-to-day in this position

Backend Infrastructure: Build and optimize our Python FastAPI & LLM Pipelines backend from the ground up, ensuring robust, scalable architecture
AI/ML Systems: Design and implement Retrieval-Augmented Generation (RAG) systems for intelligent contact insights and personalized community recommendations
DevOps & Deployment: Deploy and manage services on Kubernetes with a focus on scalability, reliability, and performance monitoring
Cross-functional Collaboration: Work closely with our CTO and Mobile Dev to deliver seamless, integrated user experiences
Technical Leadership: Drive key technical decisions around LLM pipeline infrastructure, data architecture, and performance optimization strategies