Applied AI Engineer (all genders)

Trivadis Delphi GmbH
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Applied AI Engineer (all genders)

AI Native Software Engineering Senior Analyst | Early Career | Full time

We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills.

You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems, understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines.

We offer breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

Key responsibilities

  • Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality.
  • Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers.
  • Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks.
  • Own the quality of AI-generated outputs in your delivery scope and exercise engineering judgment about reliability, limitations, and failure modes.
  • Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows.
  • Own delivery end-to-end from design through to production support in Agile sprint cycles alongside client engineering teams.
  • Contribute to shared knowledge bases, reusable components, and internal AI tooling standards.
  • Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends.

Qualifikationen

  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
  • 2+ years of commercial software engineering experience in production environments or equivalent demonstrated experience.
  • Proficiency in at least one primary backend language: Python, Java, or TypeScript.
  • Hands-on experience using AI tools in day-to-day engineering work and direct experience calling LLM APIs in production code.
  • Basic understanding of JavaScript, HTML, and CSS.
  • Familiarity with cloud fundamentals such as AWS, Azure, or GCP, containers such as Docker, and CI/CD pipelines.
  • Understanding of Agile delivery fundamentals.
  • Experience with SQL or NoSQL databases.
  • Ability to validate, evaluate, and improve AI-generated outputs.
  • Familiarity with agentic system concepts, orchestration frameworks such as LangChain or LangGraph, RAG pipelines, and how full-stack applications connect to agent-based architecture.

Benefits

Besides exciting projects, Accenture offers an attractive compensation package, flexible working hours, a modern work environment, and many additional benefits.

The annual gross salary for this position starts at EUR 45,000, depending on qualifications and experience.

Bewerben

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Trivadis Delphi GmbH - image

Trivadis Delphi GmbH

Wien
Klicke hier,
um mit der Karte zu interagieren.

Hauptstandort

Trivadis Delphi GmbH

Handelskai 94-96
1200 Wien
Österreich

Applied AI Engineer (all genders)

Trivadis Delphi GmbH
Feedback geben
shareIconshareIconprinterIcon

Applied AI Engineer (all genders)

AI Native Software Engineering Senior Analyst | Early Career | Full time

We are building the next generation of AI-native engineering talent engineers who use AI as a core part of how they work, not as an add-on. As an AI Engineer (Software), you will design, build, and ship production-grade software across the full stack, using AI-assisted tooling as standard daily practice alongside your core engineering skills.

You will work on real client programs across industries, building production-grade software that connects to and supports agentic AI systems, understanding how your full-stack work integrates with agent architecture, LLM APIs, and enterprise AI pipelines.

We offer breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering.

Key responsibilities

  • Use AI coding assistants daily as a standard part of delivery, actively, frequently, and with demonstrable impact on productivity and output quality.
  • Integrate LLM APIs into applications in production: calling AI provider APIs in live code, managing token limits and latency, and building initial abstraction layers.
  • Apply AI across the full software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks.
  • Own the quality of AI-generated outputs in your delivery scope and exercise engineering judgment about reliability, limitations, and failure modes.
  • Define and track KPIs to evaluate the effectiveness and ROI of AI-assisted workflows.
  • Own delivery end-to-end from design through to production support in Agile sprint cycles alongside client engineering teams.
  • Contribute to shared knowledge bases, reusable components, and internal AI tooling standards.
  • Build and integrate the application layers, APIs, and interfaces that connect full-stack systems to agentic backends.

Qualifikationen

  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
  • 2+ years of commercial software engineering experience in production environments or equivalent demonstrated experience.
  • Proficiency in at least one primary backend language: Python, Java, or TypeScript.
  • Hands-on experience using AI tools in day-to-day engineering work and direct experience calling LLM APIs in production code.
  • Basic understanding of JavaScript, HTML, and CSS.
  • Familiarity with cloud fundamentals such as AWS, Azure, or GCP, containers such as Docker, and CI/CD pipelines.
  • Understanding of Agile delivery fundamentals.
  • Experience with SQL or NoSQL databases.
  • Ability to validate, evaluate, and improve AI-generated outputs.
  • Familiarity with agentic system concepts, orchestration frameworks such as LangChain or LangGraph, RAG pipelines, and how full-stack applications connect to agent-based architecture.

Benefits

Besides exciting projects, Accenture offers an attractive compensation package, flexible working hours, a modern work environment, and many additional benefits.

The annual gross salary for this position starts at EUR 45,000, depending on qualifications and experience.

Bewerben

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner

Hauptstandort

Random Phone Number
randomemail@example.com

Ansprechpartner

Trivadis Delphi GmbH - image

Trivadis Delphi GmbH

Wien
Klicke hier,
um mit der Karte zu interagieren.

Hauptstandort

Trivadis Delphi GmbH

Handelskai 94-96
1200 Wien
Österreich