DevJobs

Backend Engineer - AI Team

Overview
Skills
  • Python Python ꞏ 6y
  • ML ML
  • GCP GCP
  • AI
  • document-processing
  • LangChain
  • LangGraph
  • LLM
  • NLP
  • PydanticAI
  • RAG pipelines
  • text-extraction
  • vector databases
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 Backend Engineer to join our core CTO 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

  • End-to-End System Engineering: Design, build, deploy 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.
  • AI & Agent Development: Design, Deploy and Evaluate sophisticated AI agents and workflows integrated directly into Slice’s core SaaS infrastructure.
  • Production Ownership: Own services in production, monitor system health, troubleshoot complex issues, and drive continuous improvements in reliability, performance, and operational excellence.
  • 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 heavy engineering.
  • strong proficiency in Python - Must.
  • Product Ownership: Ability to take projects end-to-end from research to production rollout, while translating product requirements into production-ready engineering solutions.
  • Experience in cloud-based deployment (GCP preferred).
  • Communication: Excellent written and spoken English, with strong collaboration skills.

Nice to Have

  • Agentic Frameworks: Solid experience building and integrating AI agents and workflows using frameworks like LangGraph, LangChain, PydanticAI etc.
  • Applied AI :deploying practical AI/ML systems into real-world production environments.
  • 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.

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 alumni of elite technology units.
  • Team culture: Collaborative, ambitious, and impact-driven.
  • Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.
Slice