Build AI-powered backend services – design and maintain APIs and intelligent services in Python and NodeJS
Bring LLMs into production – integrate large language models with retrieval-augmented generation (RAG) pipelines and agent-based workflows
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.

Requirements

5+ years of hands-on Python experience (bonus points if you also know NodeJS)
experience designing and implementing RAG functionality and working with LLMs in production.
experience with frameworks like LangChain, LangGraph, or similar agentic frameworks
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.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonNodeJSRAG functionalitylarge language modelsLangChainLangGraphmicroservicesevent-driven systemscloud-native architecturessecure coding

Soft Skills

collaborationinnovationperformance tuningreliabilityfault tolerance