Backend Engineer - AI Team at Slice Global

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

0.0

Posted On

07 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Backend Engineering, AI Agents, GCP, LangGraph, LangChain, PydanticAI, NLP, LLM Architectures, Vector Databases, RAG Pipelines, System Design, Data Pipelines, Document Automation, SaaS Infrastructure, Cloud Deployment

Industry

Software Development

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 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.

Responsibilities

Design and deploy robust backend systems and AI agents to automate global equity compliance and financial data extraction. Collaborate with the CTO and cross-functional teams to build customer-facing AI interfaces and real-time decision engines.