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Senior AI / Platform Engineer

Role overview

Qualifications

  • Significant exposure to AI product development
  • Experience in operational excellence
  • Deployment experience
  • Systems-level thinking for real AI applications

Responsibilities

  • Design, implement, and maintain scalable backend services in Python
  • Build and maintain data pipelines for AI/ML applications for production use-cases
  • Operationalize and deploy Generative AI systems (APIs, SDKs, pipelines)
  • Develop APIs to serve AI features to downstream applications
  • Orchestrate agentic workflows using frameworks like LangChain, LangGraph, or custom solutions
  • Ensure monitoring, logging, and observability of GenAI services
  • Collaborate cross-functionally to ensure system performance, scalability, and reliability

Key facts

Hard skills

Other skills

  • Systems Thinking
  • Collaboration
  • Reliability

About the company

AMS Accelerate IT logo

AMS Accelerate IT

  • Staffing & Recruiting
  • 11–50
AMS Accelerate IT is an IT recruitment organization with a solid 16 years' experience background. Our clear purpose is helping you grow your company, whether you are a start-up or a corporation, by providing you the most valuable resource: people! We have been helping companies as well as candidates accelerating their future into the present. On the path, we have become the largest IT recruitment agency in Romania and one of the main ones in CEE. Let's get to know each other and find how we can find the right techies for you!

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Job description

We are seeking a talented Backend Software Engineer with a focus on AI/ML to join our team. In this role, you will be responsible for designing, implementing, and maintaining scalable backend services primarily in Python. Your main tasks will involve building and managing data pipelines for AI/ML applications, as well as operationalizing and deploying Generative AI systems for production use.

  • Design, implement, and maintain scalable backend services in Python

  • Build and maintain data pipelines for AI/ML applications for production use-cases

  • Operationalize and deploy Generative AI systems (APIs, SDKs, pipelines)

  • Develop APIs to serve AI features to downstream applications

  • Orchestrate agentic workflows using frameworks like LangChain, LangGraph, or custom solutions

  • Ensure monitoring, logging, and observability of GenAI services

  • Collaborate cross-functionally to ensure system performance, scalability, and reliability

Note:

  • This position is ideal for a hands-on software engineer with significant exposure to AI product development, rather than a data science or AI/ML research role.

  • We are looking for individuals who excel in operational excellence, have deployment experience, and possess systems-level thinking for real AI applications.

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