Lead Advisor – AI-Native Engineering

SQUER; Wien; On-site; EUR 75,000 - 95,000; Full time

Benefits offered by this job

Training budget

Leadership Academy

Education time off

Hybrid work

Free lunch

Sports membership

Klimaticket support

Free massages

Referral bonuses

Corporate benefits

JobRad

Annual offsite

Job summary

SQUER is seeking a Lead Advisor – AI-Native Engineering in Austria to help established companies become AI-native engineering organizations. You’ll work directly on the client codebase and delivery pipeline, introducing coding assistants, agents, and spec-driven development.

You will design guardrails, ensure quality with tests and CI, run agents with cost awareness, and facilitate workshops with CTOs and teams while shaping SQUER's AI offerings.

Qualifications

• Lead or senior role with ownership of a system or team.
• AI-assisted coding on a complex project, not just theory.
• Own AI practice beyond ChatGPT and agent workflows.
• Solid understanding of LLMs, agents and RAG concepts.
• Guardrails around coding agents and safety considerations.
• Confident in CI/CD, testing and iterative delivery.
• Able to run an engaging workshop in front of groups.
• Fluent in German and English.

Responsibilities

• 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, CI gates.
• Keep quality high where agents are in the loop — tests and static analysis as the safety net.
• Run agents economically — manage context, models and cost per outcome.
• Assess AI readiness and map legacy systems to replacement paths.
• Independently facilitate Big Picture Event Storming and technical workshops with CTOs and teams.
• Help evolve SQUER's AI-in-the-SDLC offering and spot follow-up engagements.

Skills

Lead developer

AI-assisted coding

LLMs & agents

CI/CD

Workshop facilitation

German

English

Job description

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.