Springtime is currently expaning and looking for top talent in the field of artifical inteligence. We are investing in being genuinely cutting-edge in how we build software.
Our bet: an AI-native engineering capability, one that takes requirements and delivers them end to end into production, lets a focused team move with the speed and quality of a much larger one.
This role makes sure that advantage reaches every team. You will build the centralised library of agentic coding assets - skills, hooks, workflows - and work continuously with teams to adopt them well. None of it exists yet. This role builds all of it.
What makes this role different You own AI adoption end to end. You work directly with engineering, product and operations teams with a real mandate to make change happen - and as the community takes ownership, you shift into building the advanced autonomous systems at the frontier of what we do.
Your Responsibilities
Define the agentic coding practice: the workflows, skills, hooks, context packs and reusable assets that make engineers genuinely productive with AI.
Build and curate a centralised asset library so every improvement compounds across the organisation rather than being reinvented team by team.
Work continuously with teams through pairing, demos and hands-on sessions until the new way is simply how they work.
Drive measurable ROI — set baselines, measure uplift, and iterate until the numbers move.
Build a vibrant community of practice: idea sharing, experimentation, and teams that contribute to and ultimately own the library themselves.
Champion spec-driven design, helping teams move from informal prompts to structured, version-controlled specifications agents can reliably operate against.
Your Profile
A strong engineer with production-quality depth across a stack - that credibility is what earns the right to coach the teams you work with.
Demonstrated mastery of Claude Code or a directly comparable agentic tool (Cursor, etc.), with a clear, opinionated view on what makes these tools genuinely productive.
Hands-on experience authoring skills, plugins, hooks, MCP servers and reusable AI assets.
Strong context-engineering instincts: what to include, what to leave out, how to structure it, how to keep it fresh.
A solid understanding of knowledge and retrieval systems: knowledge graphs, semantic layers, RAG and the data layers AI sits on.
Experience with spec-driven or BDD/TDD-style methodologies that turn ambiguous intent into structured, executable inputs for AI.
A coach as much as an engineer — you drive change through influence, not authority.
A bias for measurable outcomes. You are not done until the numbers are moving.
Seniority Level:
Professional/Experienced
Industry Information Technology & Services IT Services and IT Consulting Software Development
Employment Type Full-time
Job Functions Engineering Information Technology Consulting
At Springtime Technologies, we’re redefining how global enterprises handle finance. As a fast-growing leader in AI-powered SaaS, we automate the Accounts Payable process—turning complex invoice and payment workflows into seamless, intelligent experiences. Our technology empowers 200,000+ users across 75+ countries, helping companies to streamline AP workflows with speed and precision.
Founded in 2004 by AI pioneers, Springtime operates from Austria, Germany, and the Philippines, driving the future of AI-driven financial automation.
The minimum gross salary for this position is €3.843 per month, as determined by the IT Collective Agreement. The actual salary will be based on your qualifications and experience.
#J-18808-Ljbffr
Our bet: an AI-native engineering capability, one that takes requirements and delivers them end to end into production, lets a focused team move with the speed and quality of a much larger one.
This role makes sure that advantage reaches every team. You will build the centralised library of agentic coding assets - skills, hooks, workflows - and work continuously with teams to adopt them well. None of it exists yet. This role builds all of it.
What makes this role different You own AI adoption end to end. You work directly with engineering, product and operations teams with a real mandate to make change happen - and as the community takes ownership, you shift into building the advanced autonomous systems at the frontier of what we do.
Your Responsibilities
Define the agentic coding practice: the workflows, skills, hooks, context packs and reusable assets that make engineers genuinely productive with AI.
Build and curate a centralised asset library so every improvement compounds across the organisation rather than being reinvented team by team.
Work continuously with teams through pairing, demos and hands-on sessions until the new way is simply how they work.
Drive measurable ROI — set baselines, measure uplift, and iterate until the numbers move.
Build a vibrant community of practice: idea sharing, experimentation, and teams that contribute to and ultimately own the library themselves.
Champion spec-driven design, helping teams move from informal prompts to structured, version-controlled specifications agents can reliably operate against.
Your Profile
A strong engineer with production-quality depth across a stack - that credibility is what earns the right to coach the teams you work with.
Demonstrated mastery of Claude Code or a directly comparable agentic tool (Cursor, etc.), with a clear, opinionated view on what makes these tools genuinely productive.
Hands-on experience authoring skills, plugins, hooks, MCP servers and reusable AI assets.
Strong context-engineering instincts: what to include, what to leave out, how to structure it, how to keep it fresh.
A solid understanding of knowledge and retrieval systems: knowledge graphs, semantic layers, RAG and the data layers AI sits on.
Experience with spec-driven or BDD/TDD-style methodologies that turn ambiguous intent into structured, executable inputs for AI.
A coach as much as an engineer — you drive change through influence, not authority.
A bias for measurable outcomes. You are not done until the numbers are moving.
Seniority Level:
Professional/Experienced
Industry Information Technology & Services IT Services and IT Consulting Software Development
Employment Type Full-time
Job Functions Engineering Information Technology Consulting
At Springtime Technologies, we’re redefining how global enterprises handle finance. As a fast-growing leader in AI-powered SaaS, we automate the Accounts Payable process—turning complex invoice and payment workflows into seamless, intelligent experiences. Our technology empowers 200,000+ users across 75+ countries, helping companies to streamline AP workflows with speed and precision.
Founded in 2004 by AI pioneers, Springtime operates from Austria, Germany, and the Philippines, driving the future of AI-driven financial automation.
The minimum gross salary for this position is €3.843 per month, as determined by the IT Collective Agreement. The actual salary will be based on your qualifications and experience.
#J-18808-Ljbffr
AI Enablement Engineer (m/f/d) Arbeitgeber: Springtime Technologies
Springtime Technologies ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in Wien eine dynamische und unterstützende Arbeitsumgebung bietet. Mit einem starken Fokus auf Mitarbeiterentwicklung und innovativen Projekten im Bereich Cloud-Technologien, ermöglicht das Unternehmen seinen Angestellten, ihre Fähigkeiten kontinuierlich auszubauen und an spannenden Herausforderungen zu wachsen. Zudem profitieren die Mitarbeiter von flexiblen Arbeitszeiten und einer offenen Unternehmenskultur, die Kreativität und Teamarbeit fördert.
