Voucherify is seeking an experienced AI Research Engineer (Python/NodeJS) (F/M/X).
We are a small but profitable software company with a flat hierarchy. You’ll get competitive pay, flexible working hours, autonomy, fully remote work and a healthy work-life balance. Voucherify is a SaaS company based in Katowice, Poland, offering an API-first Promotion & Loyalty Engine that serves 350+ global customers, including brands like John Deere, Michelin, BOSCH, Philips, easyJet, and Burger King. Watch: What (the heck) is Voucherify?
About the Role
This is a unique opportunity to apply the latest advancements in AI to a real-world SaaS product used by hundreds of customers worldwide.
In this role, you’ll leverage your expertise in Python (and optionally NodeJS) to design and develop AI-powered services, integrate large language models (LLMs), build retrieval-augmented generation (RAG) and agent-based workflows. Your work will move directly into production, powering features that thousands of marketers and developers will use daily.
This position is ideal for someone who wants to:
- Own impact at scale – see your models drive measurable results in campaign performance across industries like retail, travel, and e-commerce.
- Work at the frontier of AI & SaaS – bring LLMs, agent frameworks, and orchestration logic into a high-traffic, API-first platform.
- Grow fast with a lean, senior team – collaborate closely with experienced engineers and product leaders in a flat, international company.
- Shape the future of promo & loyalty tech – be part of the team turning Voucherify into the most AI-enhanced promo engine on the market.
What You’ll Do
- Build AI-powered backend services – design and maintain APIs and intelligent services in Python and NodeJS, 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 optimize 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 optimize 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.
What we’re looking for
- 5+ years of hands-on Python experience (bonus points if you also know NodeJS), preferably in AI, ML, or backend development.
- Proven 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.
If you’re passionate about building intelligent AI systems and want to apply your expertise in a global SaaS platform, we’d love to hear from you!
