Description

At SQUER, we help established companies become AI-native engineering organizations. As Lead Advisor – AI-Native Engineering, you're the person clients turn to when their developers are already experimenting with AI coding tools — but without guidelines, guardrails, or any real sense of what it's delivering. You close that gap, working directly on the client's own codebase and delivery pipeline instead of from a slide.

Your tasks

• Introduce AI-assisted engineering into client teams and make it stick — coding assistants, agents, spec-driven development.
• Design guardrails for coding agents: scoped permissions, human-in-the-loop checkpoints, review and CI gates that agent-generated code can't bypass.
• Keep quality high where agents are in the loop — definition of done for agent output, tests and static analysis as the real safety net, review practices that catch plausible-but-wrong code.
• Run agents economically — right-sized context and models per task, no runaway loops, cost tracked per outcome.
• Assess AI readiness at delivery level and map legacy systems onto realistic replacement paths.
• Independently facilitate Big Picture Event Storming and technical workshops with CTOs, architects, and development teams.
• Help evolve SQUER's "AI in the SDLC" offering and spot follow-up engagement potential in running projects.

Your qualifications

• Several years of development experience, including a lead or senior role with real ownership of a system or a team.
• AI-assisted coding on a complex project, professional or private — describable with tool, scope, and outcome.
• Own AI practice beyond ChatGPT: own workflows, agents, MCP servers, custom GPTs.
• Solid understanding of LLMs, agents, and RAG — what each is and when to use it.
• Hands-on experience putting guardrails around coding agents, and a clear sense of where agentic coding typically goes wrong.
• Confident in CI/CD, testing, and iterative delivery.
• Comfortable running a workshop in front of an unfamiliar group.
• Fluent in German and English — both required.

Your Benefits

Why You'll Love Working at SQUER:

• Ownership & Responsibility: at SQUER, we believe in empowering our team. In our flat hierarchies, your ideas and actions matter more than titles. Take the reins, make an impact and grow with us.
• Learn & Grow: Tap into a € 5.000 annual training budget to sharpen your skills and take advantage of our in-house Leadership Academy. Join and be part of our active tech community through meetups, hackathons and training sessions. Get up to 40h/year additional time off for your personal education.
• Exciting Challenges & Real Impact: Dive into diverse projects where your work truly makes a difference – for our clients and for SQUER.
• Flexibility for Performance: Benefit from hybrid work options, flexible hours, workations within the EU, and additional vacation days – giving you the freedom to perform at your best.
• Tailored Tools for Success: Choose your preferred hardware configuration and leverage our suite of AI tools and licenses (Anthropic, OpenAI, and more) to suit your working style.
• We Value You: Beyond perks and benefits, we offer a competitive annual salary to recognize your exceptional contributions.
• Be Part of a Thriving Team Culture: At SQUER, collaboration and connection are at the heart of what we do. Through open communication, shared successes, and meaningful team events – including our annual SQUER offsite – we cultivate a culture where everyone feels valued and inspired to grow together.
• A Perks-Packed Workplace: Work in a central office with a spacious terrace and BBQ, enjoy free lunch in the office, MyClubs sports membership, and either a free “Wiener Linien” ticket or a partial contribution to the “Klimaticket”. Plus, benefit from free massages, referral bonuses, Corporate Benefits, and JobRad. Annual employee presents and a monthly team breakfast add extra value to your work experience.

We believe in transparent and fair compensation. For this role, the annual gross salary ranges between € 75.000 and € 95.000 – the exact placement depends on the seniority level we assess together during the process.