AI Research Engineer (Python/NodeJS)
AI Research Engineer (Python/NodeJS)
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Job Description
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. Youll 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 youll 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 Youll 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 Voucherifys 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 were 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 youre passionate about building intelligent AI systems and want to apply your expertise in a global SaaS platform wed love to hear from you!
Required Experience:
Manager
Employment Type
Full-Time
