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 Rol

eWe’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, Israe

lReporting to: AI Team Lea

d
Roles and Responsibiliti

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

e.
Knowledge and Experien

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

ty.
Advant

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

o

n). Ski

• lls Builder mindset: pragmatic, execution-focused, and comfortable working in ambigu
• ity.Strong ownership and accountability - you ship, you measure, you impr
• ove.Excellent communication and collaboration ski
• lls.Strong organizational and prioritization abilities in a fast-moving environm
• ent.Proficient spoken and written Eng