Full Stack GenAI Engineer

Description Company Overview:  Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Forensic Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite. Position Overview: We are assembling a small-scale team of innovators committed to a transformative mission: advancing generative AI from conceptual breakthrough to tangible product reality. As a Senior Full Stack GenAI Engineer, you will be a critical architect of the technological infrastructure that brings our most ambitious GenAI concepts to life, transforming our Forensic intelligence solutions through cutting-edge AI innovation. What you’ll love about your mission: You are more than a developer, you are an innovation catalyst who will: Transform abstract GenAI concepts into tangible, functional web applications Design and develop flexible, scalable platforms that can rapidly prototype AI-driven solutions Create intuitive interfaces that showcase the transformative potential of our AI technologies Build the technological bridge between complex AI research and user-friendly product experiences Experiment fearlessly with emerging technologies to push the boundaries of what's possible What sets this role apart: Innovation at the Intersection of Technology You'll be working at the forefront of GenAI product development Every line of code you write has the potential to unlock a breakthrough GenAI solution Your technical expertise will directly impact the future of Forensicl intelligence technologies Exploration and Innovation Develop adaptive web architectures that can quickly integrate new GenAI capabilities Experiment with cutting-edge frontend and backend technologies Create flexible systems that can evolve with rapidly changing GenAI technologies Collaborate closely with AI/GenAI researchers to translate complex concepts into user-friendly interfaces Requirements Technological Mastery Advanced full-stack development skills with a focus on innovative solution design Ability to create highly adaptable, scalable web applications Expert-level proficiency in React, Node.js and Python Deep understanding of how to build interfaces for complex AI-driven systems System Design and Innovation Expertise in creating flexible architectural solutions Ability to design systems that can quickly incorporate emerging AI technologies Proficiency in developing robust, performant web applications Skills in creating intuitive user experiences for complex technological solutions Research and Prototype Development Proven ability to rapidly prototype and iterate on technological concepts Creative approach to solving complex technological challenges Capacity to transform research concepts into functional applications Strong experimental mindset with rigorous technical capabilities Required Qualifications Advanced degree in Computer Science, Software Engineering, or related field 6+ years of progressive full-stack development experience At least 1 year of hands-on experience in developing and deploying agentic GenAI systems in Production Expirience in Full-stack web application development (React & Node.js backend ) Cloud platform technologies (GCP advantage) Architectural design for complex, scalable systems Technical Skill Requirements Advanced React development Advanced Node.js backend skills Advanced Python backend skills Comprehensive understanding of: Microservices architecture / RestFul APIs Cloud deployment strategies API design and implementation Performance optimization techniques GenAI RAG solutions Agentic frameworks (advantage) Experience with containerization and cloud technologies