AI Engineer (Mid) - RIVO AI Product & Platform

Surecomp

23h • Onsite

About The Position

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.

Requirements

• 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.
• 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

Nice To Haves

• 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).

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed