AI Engineer

Description About Slice Global Equity Slice Global Equity is transforming how companies manage equity, compliance, and tax across borders. Headquartered in New York and Tel Aviv, with R&D based in Tel Aviv, and backed by TLV Partners, Insight partners, and Jibe Ventures. We’re building an AI-Native platform that automates global compliance in real time. We sit at the intersection of Legal-AI and fintech company, solving one of the hardest infrastructure problems in global business: real-time equity and compliance automation. Join a high-energy, fast-growing company building the future of global equity management. The Role We are looking for a Strong AI Backend Engineer to join our core R&D team and build the next generation of AI-powered features that simplify global equity management. You’ll design, build and deploy systems and AI agents that extract, understand, and act on complex financial and legal data - in real time. Your work will directly power customer-facing AI interfaces, advanced document automation, and real-time compliance decision engines across the Slice platform. Key Responsibilities AI & Agent Development: Design, Deploy and Evaluate sophisticated AI agents and workflows integrated directly into Slice’s core SaaS infrastructure. End-to-End System Engineering: Design, build, and maintain robust backend systems and data pipelines, taking features from initial concept all the way to production. Core Vertical Impact: Contribute to and drive features across our primary AI focuses, including Document Automation, Customer-Facing Agents, real-time decision engines. Production Optimization: Continuously evaluate and fine-tune system and model performance for accuracy, latency, scalability, and cost. Cross-Functional Collaboration : Partner directly with the CTO, platform engineers, product, and design teams to deliver user-facing AI capabilities. Stay current with advances in LLMs, text analysis, and generative AI to guide product innovation. Requirements Required Qualifications Core Backend Development: 6+ years of experience in backend engineering (with strong proficiency in Python). Applied AI Experience: 2+ years of hands-on experience as an AI Engineer, with a proven track record of deploying practical AI/ML systems into real-world production environments. Agentic Frameworks: Solid experience building and integrating AI agents and workflows using frameworks like LangGraph, LangChain, PydanticAI etc. Product Ownership: Ability to take projects end-to-end from research to production rollout, while translating product requirements into production-ready engineering solutions. Communication: Excellent written and spoken English, with strong collaboration skills. Nice to Have NLP & Text Processing: Familiarity with NLP/ LLM architectures, and text-extraction or document-processing pipelines. Experience with vector databases or RAG pipelines. Familiarity with compliance, fintech, or document-intensive domains. Experience in cloud-based ML deployment (GCP preferred). Why Join Slice Build with purpose: Apply AI to solve global compliance at scale. High ownership: Work directly on product-critical systems with real customer impact. Technical depth : Work across architecture, UX, and infrastructure. Collaboration : Partner with top engineers and designers in Tel Aviv. Team culture: Collaborative, ambitious, and impact-driven. Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.