Full Stack Engineer – AI Systems

Trust in SODA; Lavamünd; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Trust in SODA in Austria is seeking a Full Stack Engineer – AI Systems to turn advanced AI capabilities into reliable, production-ready workflows across frontend, backend and AI integrations.

You will build end-to-end features, design agent workflows, integrate LLMs and tools, and collaborate tightly with ML, backend and product teams to deliver proactive, reliable AI applications.

Qualifikationen

• Strong fundamentals in software engineering and AI.
• Experience delivering end-to-end features from concept to production.
• Ability to design reliable AI-powered workflows and systems.

Aufgaben

• Build end-to-end features across frontend, backend and AI integrations
• Design agent workflows involving planning, tool use, failure and recovery
• Integrate LLMs, memory systems and external tools
• Build real-time AI interactions using streaming and partial results
• Improve reliability, observability and fallback mechanisms
• Work closely with ML, Backend and Product teams
• Take features from concept through to production

Kenntnisse

Full-stack software engineering

System design

API architecture

LLMs / AI agents

Python

Node.js

Production-grade software

Jobbeschreibung

An innovative AI company is building a new generation of proactive applications designed to make everyday digital tasks more intelligent and useful.

The product focuses on persistent context, AI-driven workflows and reliable real-world task completion, moving beyond traditional chatbot experiences.

The Role

We are looking for a Full Stack Engineer – AI Systems to help turn advanced AI capabilities into reliable, production-ready workflows.

You’ll work across frontend, backend and AI integrations, designing systems that allow AI agents to plan, use tools, handle failures and complete multi-step tasks.

What You'll Do

• Build end-to-end features across frontend, backend and AI integrations
• Design agent workflows involving planning, tool use, failure and recovery
• Integrate LLMs, memory systems and external tools
• Build real-time AI interactions using streaming and partial results
• Improve reliability, observability and fallback mechanisms
• Work closely with ML, Backend and Product teams
• Take features from concept through to production

What We're Looking For

• Strong experience in full-stack software engineering
• Solid understanding of system design and API architecture
• Experience with LLMs, RAG, AI agents or AI-powered applications
• Strong backend experience, ideally with Python and/or Node.js
• Experience building production-grade software in fast-moving environmentsStrong ownership and ability to make pragmatic technical decisions

You don't need experience with every technology listed — strong engineering fundamentals and AI experience are what matter most.

Why Join?

You’ll join a small, high-calibre engineering team with significant ownership and the opportunity to work on AI-native products from the ground up.

The team moves quickly, values independent thinking and focuses on building AI systems that are reliable, proactive and genuinely useful.