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Senior AI Agentic Developer - Requirements & Service Integration (w/m/d)

Anton Paar GmbH · Graz, Steiermark · Full time · Onsite

At a glance

Senior AI Agentic Developer - Requirements & Service Integration (w/m/d) at Anton Paar GmbH, working with TypeScript, Python and Java.

Location
Graz, Steiermark
Work mode
On-site
Job type
Full-time
Seniority
Senior
Technologies
TypeScript, Python, Java, .NET / C#, C++ / C, Docker
Language
English-speaking role

Key requirements

  • Develop AI solutions and agentic workflows to support requirements engineering, specification and software integration
  • Design and implement AI‑based services for analyzing documentation, corporate data and existing IT systems
  • Build production‑ready AI solutions using modern agentic AI techniques such as tool calling, MCP, retrieval and workflow orchestration
  • Contribute to proofs of concept and MVPs, and continuously optimise AI services and integrations
  • Collaborate with business units to identify and implement AI use cases

Hirepins insights

  • Python is asked for in 27% of the 11 live IT jobs in Austria on Hirepins.
  • Anton Paar GmbH has 3 other open IT roles on Hirepins.

About this role

The Senior AI Agentic Developer at Anton Paar GmbH will create intelligent AI solutions and services for requirements engineering, software integration and business processes. The role suits an experienced software engineer with strong AI/LLM expertise and a background in C# and agentic AI technologies.

Key details

  • Location: Graz, Steiermark
  • Work mode: On-site
  • Pay: € 4.800 brutto pro Monat (auf Vollzeitbasis)
  • Level: Senior
  • Language: The original ad is in German, so German is probably needed for this role

What you'll do

  • Develop AI solutions and agentic workflows to support requirements engineering, specification and software integration
  • Design and implement AI‑based services for analyzing documentation, corporate data and existing IT systems
  • Build production‑ready AI solutions using modern agentic AI techniques such as tool calling, MCP, retrieval and workflow orchestration
  • Contribute to proofs of concept and MVPs, and continuously optimise AI services and integrations
  • Collaborate with business units to identify and implement AI use cases

What you'll need

Must have

  • Abgeschlossene Ausbildung im Bereich Informatik oder Software Engineering
  • 5+ Jahre Erfahrung in der Softwareentwicklung, idealerweise mit C#
  • Praktische Erfahrung mit Large Language Models (LLMs) und generativer KI sowie deren Integration über APIs
  • Kenntnisse in der Entwicklung agentischer KI‑Systeme (Tool Calling, Retrieval‑Augmented Generation, Workflow‑Orchestrierung, Multi‑Step‑Prozesse)
  • Sicherer Umgang mit Cloud‑Plattformen, Container‑Technologien (z. B. Docker) sowie CI/CD‑Prozessen
  • Sehr gute Deutsch‑ und Englischkenntnisse in Wort und Schrift

Nice to have

  • Erfahrung mit C++, Rust oder Java
  • Erfahrung in Python oder Typescript
  • Erfahrung mit Agent‑Frameworks wie CoPilot, Claude, Kimi oder vergleichbaren Technologien

Tech stack

C#, C++, Rust, Java, Python, Typescript, Large Language Models (LLMs), Tool Calling, CoPilot, Claude, Kimi, Docker, CI/CD

What's on offer

  • Sicherer und langfristiger Arbeitsplatz
  • Innovative Unternehmenskultur
  • Wertorientiertes Arbeitsumfeld
  • Selbstverantwortung und Gestaltungsspielraum
  • Intensive individuelle Einschulung
  • Work Outside Office (anlassbezogene Möglichkeit außerhalb des Büros zu arbeiten)
  • Freiwillige Zulage im Rahmen alternativer Gleitzeitmodelle
  • Fachliche und persönliche Weiterbildung

How to stand out for this role

Likely interview topics

  • Design of agentic AI workflows – discuss past projects involving tool calling, RAG or multi‑step processes
  • Integration of LLMs via APIs – explain how you connected large language models to existing services
  • Production‑ready AI deployment – cover CI/CD pipelines, Docker containerisation and cloud platform considerations
  • Collaboration with business units – give examples of translating business requirements into AI use cases
  • Quality, security and data‑privacy for AI – describe how you ensure compliance in a production environment

Keywords to mirror in your CV

Large Language Models, Tool Calling, Docker, CI/CD, C#

What to show

  • A demo of an agentic AI workflow that combines tool calling and RAG to automatically generate software specifications from documentation
  • A GitHub project showing end‑to‑end deployment of an LLM‑based service in Docker with CI/CD pipelines on a public cloud

How to apply

Use the Apply button on this page to submit your application.

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Source: Adzuna