Senior AI Platform Engineer: Copilot, RAG & Automation

Billennium

Kraków

On-site

PLN 240,000 - 420,000

Full time

46 hours ago
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Benefits offered by this job

Udemy for Business
Private medical care
Multisport card
Team events

Job summary

Billennium, a global technology company, is seeking a Senior AI Platform Engineer to rapidly design, build, and deliver production-grade AI solutions across Microsoft Copilot, Power Platform, and enterprise automation.

You will work with business stakeholders to deliver scalable, observable AI capabilities, contribute to a standardized enterprise AI platform with reusable components, and ensure robust engineering practices for production readiness.

Qualifications

  • Experience delivering production-grade AI solutions.
  • Hands-on with Copilot, Power Platform, and LLM-based systems.
  • Knowledge of LangChain / LangGraph and AI orchestration.

Responsibilities

  • Design and deliver AI assistants and copilots with Microsoft Copilot.
  • Leverage Power Platform for apps, automations, and AI-powered workflows.
  • Connect copilots to enterprise data sources with governance.
  • Build and optimize RAG pipelines using Postgres + pgvector.
  • Package AI services with Docker and Kubernetes (AKS) and deploy via CI/CD.
  • Ensure observability with telemetry and monitoring.

Skills

Production-grade AI
Microsoft Copilot
Power Platform
LLM orchestration
LangChain / LangGraph
Postgres + pgvector
Docker
Kubernetes (AKS)
CI/CD
Python (FastAPI)
APIs
UiPath
n8n

Tools

Docker
Kubernetes (AKS)
Terraform
Postgres + pgvector
Redis
GitHub Copilot
LangChain / LangGraph
Power Apps
Power Automate
FastAPI
APIs

Job description

Billennium, a global technology company, is seeking a Senior AI Platform Engineer to rapidly design, build, and deliver production-grade AI solutions across Microsoft Copilot, Power Platform, and enterprise automation.

You will work with business stakeholders to deliver scalable, observable AI capabilities, contribute to a standardized enterprise AI platform with reusable components, and ensure robust engineering practices for production readiness.

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