AI Engineer

1 week ago

Tel Aviv, Tel Aviv, Israel Slice | Global Equity Full time ₪100,000 - ₪120,000 per year

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, R-Squared Ventures, and Jibe Ventures, we're building an AI-driven platform that automates global compliance in real time.

We sit at the intersection of fintech, legaltech, and AI, 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 an
AI 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 and deploy systems and agents that extract, understand, and act on complex financial and legal data - powering intelligent automation, document understanding, and decision support across the Slice platform.

Key Responsibilities

  • Research, design, and implement ML and LLM-based solutions integrated directly into Slice's product.
  • Build and maintain production-grade data and model pipelines.
  • Collaborate with backend, product, and design teams to deliver user-facing AI capabilities and powerful data pipelines.
  • Evaluate and optimize model performance for scalability, accuracy, and cost.
  • Stay current with advances in LLMs, text analysis, and generative AI to guide product innovation.

Required Qualifications

  • 6+ years of experience in machine learning or data science.
  • Proven record of deploying ML systems to production.
  • Strong skills in Python and Agentic frameworks (e.g., Langraph, PydanticAI).
  • Experience with NLP/LLM architectures and text-extraction pipelines.
  • Ability to own projects end-to-end - from research to production rollout.
  • Excellent written English and collaboration skills.

Nice to Have

  • 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.

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