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AI Research Engineer (Python/NodeJS)

Confidential

Not specified permanent

Posted: January 30, 2026

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Quick Summary

We are seeking an experienced AI Research Engineer (Python/NodeJS) to join our team, where you will be working on a cutting-edge AI project, contributing to the development of a promotion & loyalty engine for our clients.

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. 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!

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