Senior AI Engineer, Python

Posted 70ds ago

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Job Description

Senior AI Engineer (Python) developing AI-powered backend services at Voucherify. Integrating LLMs and designing workflows for incentive optimization on a global SaaS platform.

Responsibilities:

  • 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:

  • competitive compensation
  • flexible working hours
  • healthy work-life balance