AI Engineer

Description

About Slice Global Equity

Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders.

We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures.

Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business.

We're headquartered in New York City, with an office in Tel Aviv.

We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you.

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.