Voucherify · 7 hours ago
Senior AI Engineer (Python)
Voucherify is looking for a Senior AI Engineer (Python) to help drive the evolution of their incentive and loyalty platform toward an AI-orchestrated future. In this senior role, you’ll work on applied AI and optimisation problems, designing multi-agent workflows and scalable AI services that directly shape how global teams automate and optimise promotions and loyalty programs.
CouponsDeveloper APIsDigital MarketingE-Commerce PlatformsLoyalty ProgramsSaaS
Responsibilities
Build AI-powered backend services – design and maintain APIs and intelligent services in Python and NodeJS (NodeJS knowledge is a plus to help integrate with our core platform), making them robust, scalable, and production-ready
Bring LLMs into production – integrate large language models with retrieval-augmented generation (RAG) pipelines and agent-based workflows, using frameworks like LangChain, LangGraph, or FastMCP
Design smart orchestration – develop multi-agent workflows, communication layers, and orchestration logic to help automate and optimise promo and loyalty campaign management
Connect the dots – ensure seamless and secure communication between AI modules, Voucherify’s core services, and external tools through event-driven interfaces
Leverage the cloud – deploy and optimise microservices on AWS, making full use of Kubernetes and cloud-native best practices
Collaborate & innovate – work side by side with frontend developers, system architects, Sales and product teams to deliver features that push the boundaries of AI in SaaS
Continuously improve – tune performance, reliability, and fault tolerance, ensuring that what you build runs smoothly at enterprise scale
Qualification
Required
5+ years of hands-on Python experience (bonus points if you also know NodeJS), preferably in AI, ML, or backend development
experience designing and implementing RAG functionality and working with LLMs in production
experience with frameworks like LangChain, LangGraph, or similar agentic frameworks and a passion for building tools that can 'reason' and act
Strong understanding of microservices, event-driven systems, and cloud-native architectures
Familiarity with vector databases and prompt engineering
Experience with MCP servers (SSE, streaming, async communication)
Proven track record of deploying ML solutions into production environments and AWS (Kubernetes, scaling, monitoring)
Strong grasp of secure coding, encryption, and data protection in AI systems
Preferred
NodeJS knowledge is a plus to help integrate with our core platform
Benefits
Annual bonus