Full Stack Developer

We are a global investment platform connecting accredited investors and institutions with vetted, early-stage startups and venture funds. Behind that platform sits a tech organization building the systems that power how thousands of investors discover, evaluate, and act on private-market opportunities. We're now expanding our Technology team with engineers who can build the next generation of AI-driven products at the core of our platform.
 
Why Join Us? This is a chance to build at the intersection of fintech and applied AI, not as a side experiment, but as the direction of the product. You'll design and ship production-grade backend and FullStack systems that sit at the heart of a real, global investment platform, while being hands-on building AI agents that teams across the company actually depend on: architecting scalable microservices in Node.js, putting LLMs and agentic tooling to work, and owning features end to end from design through deployment.
Because real users and real capital flow through our platform, your work ships and matters from day one. You'll get real ownership over the features you build, hands-on exposure to how we adopt agentic AI, and a front-row seat to the startup and innovation ecosystem we live inside every day. If you want to master cutting-edge AI tooling while solving hard distributed systems problems alongside a small, sharp team - this is the place to do it.
This role requires 3 days a week in-office with the technology team primarily based out of Tel Aviv. Since we are headquartered in Jerusalem, candidates based in and around Jerusalem are welcome to apply, provided they're comfortable with Tel Aviv as the team's main hub.
Responsibilities:
 
* Design, build, and ship production backend and FullStack features for our investment platform using Node.js and microservices
* Build and deploy AI agents and LLM-powered tools used in production across the company, from prototype to rollout
* Architect and maintain scalable microservices, integrating SQL and NoSQL data stores as needed
* Design agentic workflows and orchestration pipelines, using low-code tools (e.g. n8n, Make) alongside custom services where appropriate
* Own features end to end: design, estimation, implementation, testing, deployment, and monitoring
* Partner with product, data, and engineering teams to turn business and investor needs into technical solutions
* Evaluate emerging LLM frameworks and AI tooling to keep our stack current and production-ready
* Write clean, well-tested code and participate in code reviews to uphold team quality standards
* Troubleshoot issues across the stack, balancing delivery speed with the reliability a capital platform demands
* Help shape architecture, tooling, and best practices as the team scales its use of agentic AI

Interview Process:
* Recruiter phone call
* Take home assignment
* In-person interview with Manager
* In-person interview with Department Head
* In-person interview with HR
* References