Job Description

Who we are?

Surecomp® is the market-leading provider of digital trade finance solutions for corporates and financial institutions. An industry pioneer for more than thirty-five years, we enable seamless, sustainable trade by breaking down barriers and fostering collaboration. Our award-winning portfolio of cloud and on-premises solutions streamlines the trade finance lifecycle for frictionless transaction processing, enhanced risk mitigation, compliance, decision support, and growth. Underpinned by global offices and an extensive partner network, our prestigious customer footprint spans over eighty countries across the world. For more information visit surecomp.com

Our Vision and Mission

We believe that Sustainable global trade promotes growth and improves people’s lives. The better the world trades, the better society is.

Our Mission is to enable seamless sustainable trade for everyone by removing barriers and facilitating collaboration.

Introducing RIVO

RIVO™ - our collaborative trade finance platform is a centralized digital hub through which any trade finance instrument can be managed to enhance efficiency and optimize customer service. This web-based portal provides open API access to every trade participant for a completely streamlined and sustainable transaction process. For more information on RIVO please visit rivo.trade

About the Role

We’re hiring an AI Engineer to join a newly formed AI Engineering group dedicated exclusively to RIVO, our flagship SaaS platform transforming global trade finance.

This is a high-impact role in a lean team with a clear mission: deliver AI-powered product capabilities end-to-end, from idea and prototype to production rollout, monitoring, and iteration. We’re not experimenting with AI; we’re building real product features and laying the AI foundation that will power RIVO for years to come.

If you’re a backend engineer who has built AI/LLM solutions in production and wants to shape the AI ecosystem inside a global SaaS product - this role is for you.

Location: Kfar Saba, Israel

Reporting to: AI Team Lead

Roles and Responsibilities

• Own AI features end-to-end: translate product problems into AI solutions, prototype quickly, productionize, and continuously improve based on real usage and metrics.
• Build and maintain production-grade AI services using Python and/or Node.js, integrated into RIVO’s backend architecture.
• Develop the AI foundation for RIVO: shared building blocks, standards, templates, APIs, evaluation tooling, guardrails, and observability.
• Design and implement prompting strategies, function/tool calling flows, and structured output patterns to achieve reliable results.
• Build and optimize RAG pipelines (retrieval, ranking, chunking, context construction) and integrate with vector databases and hybrid retrieval techniques.
• Implement evaluation and monitoring: offline testing, automated regression suites, online metrics, cost monitoring, and quality dashboards.
• Work closely with Product, Engineering, and Domain Experts to ensure solutions are scalable, secure, and aligned with business value.
• Research and adopt the best-fit models and approaches (OpenAI/Anthropic/open-source), including routing, fallback strategies, and cost/performance optimization.
• Write clean, scalable, well-tested, and well-documented code.

Requirements

Knowledge and Experience

• 3–6 years of backend development experience in Python and/or Node.js.
• 2+ years building AI/LLM-based solutions in production (not just prototypes).
• Demonstrated ability to take AI solutions from idea → production, including reliability, monitoring, iteration, and stakeholder alignment.
• Strong understanding of LLM capabilities, limitations, and best practices (prompt design, tool/function calling, structured outputs, hallucination mitigation).
• Experience integrating AI systems into real backend services (REST APIs, auth, async workflows, event-driven patterns).
• Strong engineering fundamentals: system design, testing, versioning, scalability, maintainability.

Advantages

• Experience with AWS (Lambda/ECS/EKS, API Gateway, S3, etc.).
• Hands-on experience with vector databases and embeddings (Pinecone, Weaviate, Qdrant, OpenSearch, pgvector).
• Strong understanding of RAG and hybrid retrieval (BM25 + embeddings, reranking, filters, metadata strategies).
• Experience with LLM evaluation frameworks and tooling (prompt/unit tests, golden sets, offline evals, A/B testing).
• Familiarity with open-source LLMs and deployment patterns (vLLM, llama.cpp, model quantization).

Skills

• Builder mindset: pragmatic, execution-focused, and comfortable working in ambiguity.
• Strong ownership and accountability - you ship, you measure, you improve.
• Excellent communication and collaboration skills.
• Strong organizational and prioritization abilities in a fast-moving environment.
• Proficient spoken and written English