Senior AI Product Engineer / AI Workflow Architect at Avomind

✨ The Stack take on this Avomind job

• 🏢 This is Avomind's only job here right now

Updated 2026-11-05, from our data and official sources.

Apply with your AI assistant

With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.

Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/senior-ai-product-engineer-ai-workflow-architect-avomind

Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "senior-ai-product-engineer-ai-workflow-architect-avomind": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.

About the role

Our Client is scaling AI across core operations -- from document processing and knowledge systems to decision support and automation. They are looking for a Senior AI Engineer who combines strong Python skills, LLM system design expertise, and a deep sense of responsibility for output quality. Our Client’s mission is to improve healthcare through innovation and operational excellence. You will play a key role in shaping the AI systems that support life-saving projects globally and build AI systems people rely on every day. NOTE IF YOU RESIDE ABROAD: THIS POSITION REQUIRES MANDATORY RELOCATION TO VIENNA, AUSTRIA. FOLLOWING AN INITIAL 3-4 MONTH PERIOD OF FULLY REMOTE COOPERATION, THE ROLE TRANSITIONS TO A HYBRID, ON-SITE WORK MODEL BASED IN VIENNA. Your role & responsibilities Design and implement end-to-end AI workflows integrated into real business processes Build and maintain Python-based AI systems (LLMs, embeddings, retrieval, orchestration) Work with large, heterogeneous datasets (ERP data, emails, documents, APIs, files) Design and manage vectorization pipelines and retrieval strategies Trace, monitor, and debug LLM calls, prompts, outputs, and failures Define and enforce quality, reliability, and evaluation standards for AI outputs Collaborate closely with product, business, and tech stakeholders Decide when AI is the right tool -- and when it is not Document architectures, trade-offs, and decisions clearly and pragmatically Strong hands-on experience with Python in production environments Experience building systems with LLMs (OpenAI, Azure OpenAI, open-source models, etc.) Solid understanding of embeddings, vector databases, and retrieval patterns Experience with prompting, evaluation, tracing, and output quality control Ability to design AI systems that are robust, explainable, and maintainable Comfort working with ERP data and Microsoft systems Product mindset: you care about outcomes, not just models High sense of ownership and responsibility for system behavior Clear and structured communication; able to explain technical trade-offs to non-technical stakeholders Persistence, curiosity, and motivation to learn Experience integrating AI into real business workflows is a strong plus What Our Client offers A high-impact AI role with real-world responsibility Direct ownership of AI systems used across the organization The chance to shape long-term AI architecture and strategy Purpose-driven work supporting healthcare supply chains globally Flat hierarchies, fast decisions, and direct access to stakeholders A highly international, values-driven team in an English-speaking work environment in one of the best cities in the world to live in Additional perks Support for relocating to Vienna, Austria (work visa, language courses, integration support) High degree of autonomy and technical ownership Budget for tools, infrastructure, and AI experimentation Time explicitly reserved for system quality, evaluation, and refactoring Purpose-driven work with visible real-world impact

Responsibilities

The role involves designing and implementing end-to-end AI workflows integrated into real business processes, focusing on building and maintaining Python-based AI systems involving LLMs, embeddings, and retrieval. Responsibilities also include defining and enforcing quality standards for AI outputs and collaborating with various stakeholders.

Requirements

Candidates must possess strong hands-on experience with Python in production environments and proven experience building systems utilizing LLMs, embeddings, and vector databases. A product mindset, high sense of ownership, and clear communication skills are essential for defining AI system architecture and strategy.

Key skills

• Python — in 1200 other listings on The Stack
• LLM System Design — not in any other listing on The Stack
• Workflow Architecture — not in any other listing on The Stack
• Embeddings — in 6 other listings on The Stack
• Retrieval — not in any other listing on The Stack
• Orchestration — in 11 other listings on The Stack
• Vector Databases — in 13 other listings on The Stack
• Prompting — in 7 other listings on The Stack
• Evaluation
• Tracing
• Quality Control
• ERP Data
• Microsoft Systems
• Product Mindset
• Ownership
• Communication

On The Stack (as of 2026-11-05)

• This is Avomind's only listing on The Stack.
• 13 visa-sponsored jobs in Austria on The Stack, posted in the last 60 days.

Frequently asked questions about Avomind

Is this Senior AI Product Engineer / AI Workflow Architect role still open?

It was posted on 2026-02-17. Listings more than 30 days old may no longer be active, so check Avomind's site before applying.

Where is this role located?

The listing gives the location as Wien, Austria. It is marked remote.

What skills does this role ask for?

The listing names: Python, LLM System Design, Workflow Architecture, Embeddings, Retrieval, Orchestration, Vector Databases, Prompting, Evaluation, Tracing, Quality Control, ERP Data, Microsoft Systems, Product Mindset, Ownership, Communication.